gene-sequence-analysis-for-sars-cov-egfr-influenza.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/owaiskhan9654/gene-sequence-analysis-for-sars-cov-egfr-influenza?scriptVersionId=180363910\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"7b08b035","metadata":{"papermill":{"duration":0.018371,"end_time":"2024-05-29T05:55:27.533901","exception":false,"start_time":"2024-05-29T05:55:27.51553","status":"completed"},"tags":[]},"source":["<a href=\"https://www.canarydetect.com/\"><img src=\"https://raw.githubusercontent.com/Owaiskhan9654/Gene-Sequence-Primer-/main/Canary%20Logo.jpg\"></a>\n","\n","<center><b>Visit Company website by clicking on the Logo</b></center>\n"]},{"cell_type":"markdown","id":"66f1655b","metadata":{"papermill":{"duration":0.01755,"end_time":"2024-05-29T05:55:27.571243","exception":false,"start_time":"2024-05-29T05:55:27.553693","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7;font-size:20px\">Gene and Primer Sequence Analysis for SARS-CoV-2, EGFR(Non Small Lung Cancer Cell), Influenza DNAs</span>**"]},{"cell_type":"markdown","id":"e901062f","metadata":{"papermill":{"duration":0.017175,"end_time":"2024-05-29T05:55:27.606372","exception":false,"start_time":"2024-05-29T05:55:27.589197","status":"completed"},"tags":[]},"source":[" ### This Notebook is Created by [**Owais Ahmad**](https://www.linkedin.com/in/owaiskhan9654/) for SARS-CoV-2 Gene Sequence Analysis.\n"," ### This is for Medical Research Purpose only.\n"," \n"," \n"," \n","- **Email owaiskhan9654@gmail.com**\n","- **Contact +919515884381**"]},{"cell_type":"markdown","id":"e2171dfb","metadata":{"papermill":{"duration":0.017288,"end_time":"2024-05-29T05:55:27.640944","exception":false,"start_time":"2024-05-29T05:55:27.623656","status":"completed"},"tags":[]},"source":["## First time setup - Generating credentials\n","1. Sign in or create a new IDT account [here](https://www.idtdna.com/site/account?returnurl=/site/account/api).\n","2. Go to your user name drop down menu at the top right of the page, and select My account.\n","3. Click the API access link.\n","4. Click the Request new API key button.\n","5. Append those 4 secret in Kaggle Add-ons\n","6. Comment down for any help."]},{"cell_type":"markdown","id":"11299cf1","metadata":{"papermill":{"duration":0.016983,"end_time":"2024-05-29T05:55:27.676437","exception":false,"start_time":"2024-05-29T05:55:27.659454","status":"completed"},"tags":[]},"source":["### How can I check my Oligo primers to ensure there are no significant primer design issues?\n","- The difference between melting temperatures (Tm) of the primers should be less than 5°C.\n","- The GC content should be between 35-80% or equivalent to the product being amplified.\n","- The Delta G value of any self-dimers, hairpins, and heterodimers should be weaker (more positive) than -9.0 kcal/mole. Positive numbers indicate that the actual secondary structure shown will not form at all.\n","- Avoid 3' complementarity between the two primers to prevent primer dimers.\n","The IDT OligoAnalyzer APIs can be used to assess these different criteria for a proposed oligo. \n","#### [Reference](https://sg.idtdna.com/pages/support/faqs/how-can-i-check-my-pcr-primers-using-the-oligoanalyzer-program-to-ensure-there-are-no-significant-primer-design-issues-)"]},{"attachments":{"ee1e1a3c-d9f3-41a0-8183-7e07ebe5eba9.jpg":{"image/jpeg":"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"}},"cell_type":"markdown","id":"5458b2e2","metadata":{"papermill":{"duration":0.017618,"end_time":"2024-05-29T05:55:27.711855","exception":false,"start_time":"2024-05-29T05:55:27.694237","status":"completed"},"tags":[]},"source":["![dna-spiral-genetics-twisted-wallpaper-preview.jpg](attachment:ee1e1a3c-d9f3-41a0-8183-7e07ebe5eba9.jpg)"]},{"cell_type":"markdown","id":"e7776ef4","metadata":{"papermill":{"duration":0.018077,"end_time":"2024-05-29T05:55:27.747178","exception":false,"start_time":"2024-05-29T05:55:27.729101","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7;\">Basic Library Installations</span>**"]},{"cell_type":"code","execution_count":1,"id":"914053bb","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:27.78353Z","iopub.status.busy":"2024-05-29T05:55:27.783017Z","iopub.status.idle":"2024-05-29T05:55:43.260028Z","shell.execute_reply":"2024-05-29T05:55:43.251576Z"},"papermill":{"duration":15.513732,"end_time":"2024-05-29T05:55:43.277862","exception":false,"start_time":"2024-05-29T05:55:27.76413","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n","\u001b[0m"]}],"source":["!pip install -q openpyxl"]},{"cell_type":"code","execution_count":2,"id":"af993ca6","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:43.344112Z","iopub.status.busy":"2024-05-29T05:55:43.343133Z","iopub.status.idle":"2024-05-29T05:55:43.514748Z","shell.execute_reply":"2024-05-29T05:55:43.513622Z"},"papermill":{"duration":0.200223,"end_time":"2024-05-29T05:55:43.518503","exception":false,"start_time":"2024-05-29T05:55:43.31828","status":"completed"},"tags":[]},"outputs":[],"source":["from __future__ import print_function\n","from base64 import b64encode\n","import json\n","from urllib import request, parse\n","import pandas as pd\n","import requests\n","import pandas as pd\n","from tqdm.notebook import tqdm\n","from functools import reduce\n","from kaggle_secrets import UserSecretsClient"]},{"cell_type":"markdown","id":"3f91611d","metadata":{"papermill":{"duration":0.017411,"end_time":"2024-05-29T05:55:43.562724","exception":false,"start_time":"2024-05-29T05:55:43.545313","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7; font-size:18px\">Secret Token Fetch from IDT-DNA. Note this will expire in 10 Mins and if you have a very long set of sequence to perform analysis then call below function again to get new Secret token</span>**"]},{"cell_type":"code","execution_count":3,"id":"4a7f04c3","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:43.60151Z","iopub.status.busy":"2024-05-29T05:55:43.601068Z","iopub.status.idle":"2024-05-29T05:55:45.832181Z","shell.execute_reply":"2024-05-29T05:55:45.830912Z"},"papermill":{"duration":2.254617,"end_time":"2024-05-29T05:55:45.835383","exception":false,"start_time":"2024-05-29T05:55:43.580766","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Secret Token Fetched (This will expire in 10 minutes):  82ba9a2f9dfcd50750163605a16718a6\n"]}],"source":["def get_bearer_token(client_id, client_secret, idt_username, idt_password):\n","\n","\n","    authorization_string = b64encode(bytes(client_id + \":\" + client_secret, \"utf-8\")).decode()\n","    request_headers = { \"Content-Type\" : \"application/x-www-form-urlencoded\",\n","                        \"Authorization\" : \"Basic \" + authorization_string }\n","                    \n","    data_dict = {   \"grant_type\" : \"password\", \"scope\" : \"test\",\"username\" : idt_username,\"password\" : idt_password }\n","    request_data = parse.urlencode(data_dict).encode()\n","\n","    post_request = request.Request(\"https://www.idtdna.com/Identityserver/connect/token\", data = request_data, headers = request_headers,method = \"POST\")\n","\n","    response = request.urlopen(post_request)\n","\n","    body = response.read().decode()\n","    \n","    if (response.status != 200):\n","        raise RuntimeError(\"Request failed with error code:\" + str(response.status) + \"\\nBody:\\n\" + body)\n","    \n","    body_dict = json.loads(body)\n","    return body_dict[\"access_token\"]\n","    \n","user_secrets = UserSecretsClient()\n","secret_value_0 = user_secrets.get_secret(\"IDT_password_here\")\n","secret_value_1 = user_secrets.get_secret(\"IDT_username_here\")\n","secret_value_2 = user_secrets.get_secret(\"client_id_here\")\n","secret_value_3 = user_secrets.get_secret(\"client_secret_here\")\n","    \n","client_id = str(secret_value_2)\n","client_secret = str(secret_value_3)\n","idt_username = str(secret_value_1)\n","idt_password = str(secret_value_0)\n","\n","\n","token = get_bearer_token(client_id, client_secret, idt_username, idt_password)\n","print(\"Secret Token Fetched (This will expire in 10 minutes): \",token)\n"]},{"cell_type":"markdown","id":"7aefb4c3","metadata":{"papermill":{"duration":0.019532,"end_time":"2024-05-29T05:55:45.88411","exception":false,"start_time":"2024-05-29T05:55:45.864578","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7; font-size:18px\">Here SARS-CoV-2 Gene Sequences are fetched from csv file which is stored on GitHub. This we get from blasting on NCBI</span>**"]},{"cell_type":"code","execution_count":4,"id":"72cb7126","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2024-05-29T05:55:45.926159Z","iopub.status.busy":"2024-05-29T05:55:45.925717Z","iopub.status.idle":"2024-05-29T05:55:46.881939Z","shell.execute_reply":"2024-05-29T05:55:46.880812Z"},"papermill":{"duration":0.980832,"end_time":"2024-05-29T05:55:46.884615","exception":false,"start_time":"2024-05-29T05:55:45.903783","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Primer name', 'Sequence', 'Synthesis scale'], dtype='object')"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["url=\"https://github.com/Owaiskhan9654/Gene-Sequence-Primer-/blob/main/NEB%20Primer%20Sequence.xlsx?raw=true\"\n","# Sequence fetch for Analysis\n","\n","response = requests.get(url)\n","\n","dest = 'GENE Primer Sequence.xlsx'\n","\n","with open(dest, 'wb') as file:\n","    file.write(response.content)\n","\n","GENE_df = pd.read_excel(\"GENE Primer Sequence.xlsx\", sheet_name=2,header=1).dropna()\n","GENE_df.reset_index(drop=True,inplace=True)\n","GENE_df.columns"]},{"cell_type":"code","execution_count":5,"id":"9f06d0a6","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:46.930099Z","iopub.status.busy":"2024-05-29T05:55:46.929626Z","iopub.status.idle":"2024-05-29T05:55:46.940894Z","shell.execute_reply":"2024-05-29T05:55:46.93967Z"},"papermill":{"duration":0.037569,"end_time":"2024-05-29T05:55:46.944461","exception":false,"start_time":"2024-05-29T05:55:46.906892","status":"completed"},"tags":[]},"outputs":[],"source":["GENE_df.to_csv('SARS-CoV-2_Primer_Sequences.csv',index=False)"]},{"cell_type":"code","execution_count":6,"id":"ce75a974","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:46.990203Z","iopub.status.busy":"2024-05-29T05:55:46.988801Z","iopub.status.idle":"2024-05-29T05:55:47.011567Z","shell.execute_reply":"2024-05-29T05:55:47.010269Z"},"papermill":{"duration":0.047865,"end_time":"2024-05-29T05:55:47.014561","exception":false,"start_time":"2024-05-29T05:55:46.966696","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primer name</th>\n","      <th>Sequence</th>\n","      <th>Synthesis scale</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-B3</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-LF</td>\n","      <td>CGCTATTAACTATTAACG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene-E1-LB</td>\n","      <td>GCGCTTCGATTGTGTGCGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>N2-F3</td>\n","      <td>ACCAGGAACTAATCAGACAAG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>N2-B3</td>\n","      <td>GACTTGATCTTTGAAATTTGGATCT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>N2-FIP</td>\n","      <td>TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>N2-BIP</td>\n","      <td>CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>N2-LF</td>\n","      <td>GGGGGCAAATTGTGCAATTTG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>N2-LB</td>\n","      <td>CTTCGGGAACGTGGTTGACC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>ACTB-F3</td>\n","      <td>AGTACCCCATCGAGCACG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>ACTB-B3</td>\n","      <td>AGCCTGGATAGCAACGTACA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>ACTB-FIP</td>\n","      <td>GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>ACTB-BIP</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>ACTB-LF</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>ACTB-LB</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Primer name                                      Sequence Synthesis scale\n","0    Gene-E1-F3                       TGAGTACGAACTTATGTACTCAT           10 nm\n","1    Gene-E1-B3                        TTCAGATTTTTAACACGAGAGT           10 nm\n","2   Gene-E1-FIP    ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG           10 nm\n","3   Gene-E1-BIP  TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT           10 nm\n","4    Gene-E1-LF                            CGCTATTAACTATTAACG           10 nm\n","5    Gene-E1-LB                           GCGCTTCGATTGTGTGCGT           10 nm\n","6         N2-F3                         ACCAGGAACTAATCAGACAAG           10 nm\n","7         N2-B3                     GACTTGATCTTTGAAATTTGGATCT           10 nm\n","8        N2-FIP    TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC           10 nm\n","9        N2-BIP      CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA           10 nm\n","10        N2-LF                         GGGGGCAAATTGTGCAATTTG           10 nm\n","11        N2-LB                          CTTCGGGAACGTGGTTGACC           10 nm\n","12      ACTB-F3                            AGTACCCCATCGAGCACG           10 nm\n","13      ACTB-B3                          AGCCTGGATAGCAACGTACA           10 nm\n","14     ACTB-FIP      GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA           10 nm\n","15     ACTB-BIP        CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC           10 nm\n","16      ACTB-LF                         TGTGGTGCCAGATTTTCTCCA           10 nm\n","17      ACTB-LB                       CGAGAAGATGACCCAGATCATGT           10 nm"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["GENE_df"]},{"attachments":{"6c728c92-b0bf-4b85-b01e-a8383e7945e6.png":{"image/png":"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"}},"cell_type":"markdown","id":"b58eebfc","metadata":{"papermill":{"duration":0.020627,"end_time":"2024-05-29T05:55:47.056434","exception":false,"start_time":"2024-05-29T05:55:47.035807","status":"completed"},"tags":[]},"source":["![image.png](attachment:6c728c92-b0bf-4b85-b01e-a8383e7945e6.png)"]},{"cell_type":"code","execution_count":7,"id":"2ece1ed1","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:47.099748Z","iopub.status.busy":"2024-05-29T05:55:47.099317Z","iopub.status.idle":"2024-05-29T05:55:47.115785Z","shell.execute_reply":"2024-05-29T05:55:47.114419Z"},"papermill":{"duration":0.041835,"end_time":"2024-05-29T05:55:47.119037","exception":false,"start_time":"2024-05-29T05:55:47.077202","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["{'Gene-E1-F3': 'TGAGTACGAACTTATGTACTCAT',\n"," 'Gene-E1-B3': 'TTCAGATTTTTAACACGAGAGT',\n"," 'Gene-E1-FIP': 'ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG',\n"," 'Gene-E1-BIP': 'TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT',\n"," 'Gene-E1-LF': 'CGCTATTAACTATTAACG',\n"," 'Gene-E1-LB': 'GCGCTTCGATTGTGTGCGT',\n"," 'N2-F3': 'ACCAGGAACTAATCAGACAAG',\n"," 'N2-B3': 'GACTTGATCTTTGAAATTTGGATCT',\n"," 'N2-FIP': 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC',\n"," 'N2-BIP': 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA',\n"," 'N2-LF': 'GGGGGCAAATTGTGCAATTTG',\n"," 'N2-LB': 'CTTCGGGAACGTGGTTGACC',\n"," 'ACTB-F3': 'AGTACCCCATCGAGCACG',\n"," 'ACTB-B3': 'AGCCTGGATAGCAACGTACA',\n"," 'ACTB-FIP': 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA',\n"," 'ACTB-BIP': 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC',\n"," 'ACTB-LF': 'TGTGGTGCCAGATTTTCTCCA',\n"," 'ACTB-LB': 'CGAGAAGATGACCCAGATCATGT'}"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["Sequence_dict = {}\n","\n","for i in GENE_df.index:\n","    Sequence_dict[GENE_df['Sequence'][i]] = GENE_df['Primer name'][i]\n","\n","Sequence_dict\n","\n","Primer_dict = {}\n","\n","for i in GENE_df.index:\n","    Primer_dict[GENE_df['Primer name'][i]] = GENE_df['Sequence'][i]\n","\n","Primer_dict"]},{"cell_type":"code","execution_count":8,"id":"ee6396c3","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:47.162881Z","iopub.status.busy":"2024-05-29T05:55:47.161509Z","iopub.status.idle":"2024-05-29T05:55:57.638298Z","shell.execute_reply":"2024-05-29T05:55:57.636904Z"},"papermill":{"duration":10.503714,"end_time":"2024-05-29T05:55:57.643312","exception":false,"start_time":"2024-05-29T05:55:47.139598","status":"completed"},"tags":[]},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"37090f0ee73d44d6a7b17473644d78d0","version_major":2,"version_minor":0},"text/plain":["  0%|          | 0/18 [00:00<?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["CPU times: user 459 ms, sys: 32.3 ms, total: 491 ms\n","Wall time: 10.5 s\n"]}],"source":["%%time\n","\n","headers = {\n","    'Content-Type': 'application/json',\n","    'Accept': 'application/json',\n","    'Authorization': 'Bearer '+token,\n","}\n","\n","Primer_Name = []\n","Sequence = []\n","Complement = []\n","length = []\n","GCContent = []\n","MeltTemp = []\n","NmoleOD = []\n","OligoConc_list = []\n","MgConc_list = []\n","NaConc_list = []\n","dNTPsConc_list = []\n","NucleotideType_list=[]\n","count = 0\n","for i in tqdm(GENE_df.index):\n","    Primer_Name1=GENE_df.iloc[i]['Primer name']\n","#     print(Primer_Name1)\n","    oligo_Conc_dict={'F3':0.2,'B3':0.2,'Fip':1.6,'Bip':1.6,'Lf':0.4,'Bf':0.4} \n","    dntp_Conc_dict={'F3':1.4,'B3':1.4,'Fip':1.4,'Bip':1.4,'Lf':1.4,'Bf':1.4} \n","    mg_Conc_dict={'F3':8,'B3':8,'Fip':8,'Bip':8,'Lf':8,'Bf':8} \n","    Na_Conc_dict={'F3':50,'B3':50,'Fip':50,'Bip':50,'Lf':50,'Bf':50}\n","    if 'F3' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['F3'],dntp_Conc_dict['F3'],mg_Conc_dict['F3'],Na_Conc_dict['F3']\n","    elif 'B3' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['B3'],dntp_Conc_dict['B3'],mg_Conc_dict['B3'],Na_Conc_dict['B3']\n","    elif 'FIP' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['Fip'],dntp_Conc_dict['Fip'],mg_Conc_dict['Fip'],Na_Conc_dict['Fip']\n","    elif 'BIP' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['Bip'],dntp_Conc_dict['Bip'],mg_Conc_dict['Bip'],Na_Conc_dict['Bip']\n","    elif 'LF' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['Lf'],dntp_Conc_dict['Lf'],mg_Conc_dict['Lf'],Na_Conc_dict['Lf']\n","    elif 'BF' in Primer_Name1:\n","        oligo_Conc,dntp_Conc,mg_Conc,Na_Conc=oligo_Conc_dict['Bf'],dntp_Conc_dict['Bf'],mg_Conc_dict['Bf'],Na_Conc_dict['Bf']\n","    \n","    #print(oligo_Conc)\n","    NucleotideType=\"DNA\"\n","    data = '{  \"Sequence\": \"' + GENE_df.iloc[i]['Sequence'] + '\",  \"NaConc\": '+  str(Na_Conc)+\\\n","    ',  \"MgConc\": '+  str(mg_Conc)+',   \"dNTPsConc\": '+  str(dntp_Conc)+',  \"OligoConc\": '+  str(oligo_Conc)+\\\n","    ',   \"NucleotideType\": \"DNA\" }'\n","    response = requests.post(\n","        'https://www.idtdna.com/Restapi/v1/OligoAnalyzer/Analyze',\n","        headers=headers,\n","        data=data)\n","    json_data = json.loads(response.text)\n","    Primer_Name.append(Sequence_dict[json_data['Sequence'].replace(\" \", '')])\n","    Sequence.append(json_data['Sequence'])\n","    Complement.append(json_data['Complement'])\n","    length.append(json_data['Length'])\n","    GCContent.append(json_data['GCContent'])\n","    MeltTemp.append(json_data['MeltTemp'])\n","    NmoleOD.append(json_data['NmoleOD'])\n","    OligoConc_list.append(json_data['OligoConc'])\n","    MgConc_list.append(mg_Conc)\n","    NaConc_list.append(Na_Conc)\n","    dNTPsConc_list.append(dntp_Conc)\n","    NucleotideType_list.append(NucleotideType)\n","\n","\n","df1=pd.DataFrame({\"Primer Name\":Primer_Name, \"Sequence\":Sequence,\"Complement\":Complement,\"OligoConc\":OligoConc_list,\"Na+ Conc\":NaConc_list,\\\n","                  \"Mg++ Conc\":MgConc_list,\"dNTPs Conc\":dNTPsConc_list,\"Nucleotide Type\":NucleotideType_list,\"length\":length,\"GCContent\":GCContent,\"MeltTemp\":MeltTemp,\"NmoleOD\":NmoleOD,})\n","\n"]},{"cell_type":"markdown","id":"ea222a2a","metadata":{"papermill":{"duration":0.019191,"end_time":"2024-05-29T05:55:57.681254","exception":false,"start_time":"2024-05-29T05:55:57.662063","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7; font-size:22px\">In this below DataFrame you can check for Length of Formation, Its GC content, Melting Temperature, and NmoleOD  </span>**"]},{"cell_type":"code","execution_count":9,"id":"39f032d8","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:57.720803Z","iopub.status.busy":"2024-05-29T05:55:57.720375Z","iopub.status.idle":"2024-05-29T05:55:57.748792Z","shell.execute_reply":"2024-05-29T05:55:57.747536Z"},"papermill":{"duration":0.050552,"end_time":"2024-05-29T05:55:57.751296","exception":false,"start_time":"2024-05-29T05:55:57.700744","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primer Name</th>\n","      <th>Sequence</th>\n","      <th>Complement</th>\n","      <th>OligoConc</th>\n","      <th>Na+ Conc</th>\n","      <th>Mg++ Conc</th>\n","      <th>dNTPs Conc</th>\n","      <th>Nucleotide Type</th>\n","      <th>length</th>\n","      <th>GCContent</th>\n","      <th>MeltTemp</th>\n","      <th>NmoleOD</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>TGA GTA CGA ACT TAT GTA CTC AT</td>\n","      <td>ATG AGT ACA TAA GTT CGT ACT CA</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>23</td>\n","      <td>34.8</td>\n","      <td>61.0</td>\n","      <td>4.40</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-B3</td>\n","      <td>TTC AGA TTT TTA ACA CGA GAG T</td>\n","      <td>ACT CTC GTG TTA AAA ATC TGA A</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>22</td>\n","      <td>31.8</td>\n","      <td>60.4</td>\n","      <td>4.57</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>ACC ACG AAA GCA AGA AAA AGA AGT TCG TTT CGG AA...</td>\n","      <td>CTG TCT CTT CCG AAA CGA ACT TCT TTT TCT TGC TT...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>42</td>\n","      <td>42.9</td>\n","      <td>75.8</td>\n","      <td>2.26</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>TTG CTA GTT ACA CTA GCC ATC CTT AGG TTT TAC AA...</td>\n","      <td>ACG TGA GTC TTG TAA AAC CTA AGG ATG GCT AGT GT...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>44</td>\n","      <td>40.9</td>\n","      <td>75.4</td>\n","      <td>2.41</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-LF</td>\n","      <td>CGC TAT TAA CTA TTA ACG</td>\n","      <td>CGT TAA TAG TTA ATA GCG</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>18</td>\n","      <td>33.3</td>\n","      <td>53.4</td>\n","      <td>5.69</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene-E1-LB</td>\n","      <td>GCG CTT CGA TTG TGT GCG T</td>\n","      <td>ACG CAC ACA ATC GAA GCG C</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>19</td>\n","      <td>57.9</td>\n","      <td>68.6</td>\n","      <td>5.86</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>N2-F3</td>\n","      <td>ACC AGG AAC TAA TCA GAC AAG</td>\n","      <td>CTT GTC TGA TTA GTT CCT GGT</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>21</td>\n","      <td>42.9</td>\n","      <td>61.2</td>\n","      <td>4.52</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>N2-B3</td>\n","      <td>GAC TTG ATC TTT GAA ATT TGG ATC T</td>\n","      <td>AGA TCC AAA TTT CAA AGA TCA AGT C</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>25</td>\n","      <td>32.0</td>\n","      <td>62.2</td>\n","      <td>4.20</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>N2-FIP</td>\n","      <td>TTC CGA AGA ACG CTG AAG CGG AAC TGA TTA CAA AC...</td>\n","      <td>GGC CAA TGT TTG TAA TCA GTT CCG CTT CAG CGT TC...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>42</td>\n","      <td>47.6</td>\n","      <td>77.6</td>\n","      <td>2.43</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>N2-BIP</td>\n","      <td>CGC ATT GGC ATG GAA GTC ACA ATT TGA TGG CAC CT...</td>\n","      <td>TAC ACA GGT GCC ATC AAA TTG TGA CTT CCA TGC CA...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>40</td>\n","      <td>47.5</td>\n","      <td>77.5</td>\n","      <td>2.59</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>N2-LF</td>\n","      <td>GGG GGC AAA TTG TGC AAT TTG</td>\n","      <td>CAA ATT GCA CAA TTT GCC CCC</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>21</td>\n","      <td>47.6</td>\n","      <td>66.1</td>\n","      <td>4.85</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>N2-LB</td>\n","      <td>CTT CGG GAA CGT GGT TGA CC</td>\n","      <td>GGT CAA CCA CGT TCC CGA AG</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>20</td>\n","      <td>60.0</td>\n","      <td>67.3</td>\n","      <td>5.37</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>ACTB-F3</td>\n","      <td>AGT ACC CCA TCG AGC ACG</td>\n","      <td>CGT GCT CGA TGG GGT ACT</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>18</td>\n","      <td>61.1</td>\n","      <td>64.8</td>\n","      <td>5.73</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>ACTB-B3</td>\n","      <td>AGC CTG GAT AGC AAC GTA CA</td>\n","      <td>TGT ACG TTG CTA TCC AGG CT</td>\n","      <td>0.2</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>20</td>\n","      <td>50.0</td>\n","      <td>64.9</td>\n","      <td>4.93</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>ACTB-FIP</td>\n","      <td>GAG CCA CAC GCA GCT CAT TGT ATC ACC AAC TGG GA...</td>\n","      <td>TGT CGT CCC AGT TGG TGA TAC AAT GAG CTG CGT GT...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>40</td>\n","      <td>55.0</td>\n","      <td>79.0</td>\n","      <td>2.59</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>ACTB-BIP</td>\n","      <td>CTG AAC CCC AAG GCC AAC CGG CTG GGG TGT TGA AG...</td>\n","      <td>GAC CTT CAA CAC CCC AGC CGG TTG GCC TTG GGG TT...</td>\n","      <td>1.6</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>38</td>\n","      <td>63.2</td>\n","      <td>80.9</td>\n","      <td>2.79</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>ACTB-LF</td>\n","      <td>TGT GGT GCC AGA TTT TCT CCA</td>\n","      <td>TGG AGA AAA TCT GGC ACC ACA</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>21</td>\n","      <td>47.6</td>\n","      <td>66.9</td>\n","      <td>5.19</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>ACTB-LB</td>\n","      <td>CGA GAA GAT GAC CCA GAT CAT GT</td>\n","      <td>ACA TGA TCT GGG TCA TCT TCT CG</td>\n","      <td>0.4</td>\n","      <td>50</td>\n","      <td>8</td>\n","      <td>1.4</td>\n","      <td>DNA</td>\n","      <td>23</td>\n","      <td>47.8</td>\n","      <td>66.1</td>\n","      <td>4.28</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Primer Name                                           Sequence  \\\n","0    Gene-E1-F3                     TGA GTA CGA ACT TAT GTA CTC AT   \n","1    Gene-E1-B3                      TTC AGA TTT TTA ACA CGA GAG T   \n","2   Gene-E1-FIP  ACC ACG AAA GCA AGA AAA AGA AGT TCG TTT CGG AA...   \n","3   Gene-E1-BIP  TTG CTA GTT ACA CTA GCC ATC CTT AGG TTT TAC AA...   \n","4    Gene-E1-LF                           CGC TAT TAA CTA TTA ACG    \n","5    Gene-E1-LB                          GCG CTT CGA TTG TGT GCG T   \n","6         N2-F3                       ACC AGG AAC TAA TCA GAC AAG    \n","7         N2-B3                  GAC TTG ATC TTT GAA ATT TGG ATC T   \n","8        N2-FIP  TTC CGA AGA ACG CTG AAG CGG AAC TGA TTA CAA AC...   \n","9        N2-BIP  CGC ATT GGC ATG GAA GTC ACA ATT TGA TGG CAC CT...   \n","10        N2-LF                       GGG GGC AAA TTG TGC AAT TTG    \n","11        N2-LB                         CTT CGG GAA CGT GGT TGA CC   \n","12      ACTB-F3                           AGT ACC CCA TCG AGC ACG    \n","13      ACTB-B3                         AGC CTG GAT AGC AAC GTA CA   \n","14     ACTB-FIP  GAG CCA CAC GCA GCT CAT TGT ATC ACC AAC TGG GA...   \n","15     ACTB-BIP  CTG AAC CCC AAG GCC AAC CGG CTG GGG TGT TGA AG...   \n","16      ACTB-LF                       TGT GGT GCC AGA TTT TCT CCA    \n","17      ACTB-LB                     CGA GAA GAT GAC CCA GAT CAT GT   \n","\n","                                           Complement  OligoConc  Na+ Conc  \\\n","0                      ATG AGT ACA TAA GTT CGT ACT CA        0.2        50   \n","1                       ACT CTC GTG TTA AAA ATC TGA A        0.2        50   \n","2   CTG TCT CTT CCG AAA CGA ACT TCT TTT TCT TGC TT...        1.6        50   \n","3   ACG TGA GTC TTG TAA AAC CTA AGG ATG GCT AGT GT...        1.6        50   \n","4                            CGT TAA TAG TTA ATA GCG         0.4        50   \n","5                           ACG CAC ACA ATC GAA GCG C        0.4        50   \n","6                        CTT GTC TGA TTA GTT CCT GGT         0.2        50   \n","7                   AGA TCC AAA TTT CAA AGA TCA AGT C        0.2        50   \n","8   GGC CAA TGT TTG TAA TCA GTT CCG CTT CAG CGT TC...        1.6        50   \n","9   TAC ACA GGT GCC ATC AAA TTG TGA CTT CCA TGC CA...        1.6        50   \n","10                       CAA ATT GCA CAA TTT GCC CCC         0.4        50   \n","11                         GGT CAA CCA CGT TCC CGA AG        0.4        50   \n","12                           CGT GCT CGA TGG GGT ACT         0.2        50   \n","13                         TGT ACG TTG CTA TCC AGG CT        0.2        50   \n","14  TGT CGT CCC AGT TGG TGA TAC AAT GAG CTG CGT GT...        1.6        50   \n","15  GAC CTT CAA CAC CCC AGC CGG TTG GCC TTG GGG TT...        1.6        50   \n","16                       TGG AGA AAA TCT GGC ACC ACA         0.4        50   \n","17                     ACA TGA TCT GGG TCA TCT TCT CG        0.4        50   \n","\n","    Mg++ Conc  dNTPs Conc Nucleotide Type  length  GCContent  MeltTemp  \\\n","0           8         1.4             DNA      23       34.8      61.0   \n","1           8         1.4             DNA      22       31.8      60.4   \n","2           8         1.4             DNA      42       42.9      75.8   \n","3           8         1.4             DNA      44       40.9      75.4   \n","4           8         1.4             DNA      18       33.3      53.4   \n","5           8         1.4             DNA      19       57.9      68.6   \n","6           8         1.4             DNA      21       42.9      61.2   \n","7           8         1.4             DNA      25       32.0      62.2   \n","8           8         1.4             DNA      42       47.6      77.6   \n","9           8         1.4             DNA      40       47.5      77.5   \n","10          8         1.4             DNA      21       47.6      66.1   \n","11          8         1.4             DNA      20       60.0      67.3   \n","12          8         1.4             DNA      18       61.1      64.8   \n","13          8         1.4             DNA      20       50.0      64.9   \n","14          8         1.4             DNA      40       55.0      79.0   \n","15          8         1.4             DNA      38       63.2      80.9   \n","16          8         1.4             DNA      21       47.6      66.9   \n","17          8         1.4             DNA      23       47.8      66.1   \n","\n","    NmoleOD  \n","0      4.40  \n","1      4.57  \n","2      2.26  \n","3      2.41  \n","4      5.69  \n","5      5.86  \n","6      4.52  \n","7      4.20  \n","8      2.43  \n","9      2.59  \n","10     4.85  \n","11     5.37  \n","12     5.73  \n","13     4.93  \n","14     2.59  \n","15     2.79  \n","16     5.19  \n","17     4.28  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df1"]},{"cell_type":"code","execution_count":10,"id":"071008a9","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:57.792714Z","iopub.status.busy":"2024-05-29T05:55:57.792236Z","iopub.status.idle":"2024-05-29T05:55:58.83319Z","shell.execute_reply":"2024-05-29T05:55:58.831331Z"},"papermill":{"duration":1.064573,"end_time":"2024-05-29T05:55:58.836359","exception":false,"start_time":"2024-05-29T05:55:57.771786","status":"completed"},"tags":[]},"outputs":[],"source":["!mkdir \"Output Data GENE Analysis\""]},{"cell_type":"code","execution_count":11,"id":"068d882f","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:58.877643Z","iopub.status.busy":"2024-05-29T05:55:58.876142Z","iopub.status.idle":"2024-05-29T05:55:58.885801Z","shell.execute_reply":"2024-05-29T05:55:58.884762Z"},"papermill":{"duration":0.032935,"end_time":"2024-05-29T05:55:58.888486","exception":false,"start_time":"2024-05-29T05:55:58.855551","status":"completed"},"tags":[]},"outputs":[],"source":["df1.to_csv('Output Data GENE Analysis/GENE_Analysis.csv', index=False)"]},{"cell_type":"code","execution_count":12,"id":"a6825848","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:55:58.934262Z","iopub.status.busy":"2024-05-29T05:55:58.933301Z","iopub.status.idle":"2024-05-29T05:56:10.708492Z","shell.execute_reply":"2024-05-29T05:56:10.706899Z"},"papermill":{"duration":11.80253,"end_time":"2024-05-29T05:56:10.711673","exception":false,"start_time":"2024-05-29T05:55:58.909143","status":"completed"},"tags":[]},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"5a3795d19cb64578a38dceead7df10b8","version_major":2,"version_minor":0},"text/plain":["  0%|          | 0/18 [00:00<?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["CPU times: user 392 ms, sys: 32.7 ms, total: 425 ms\n","Wall time: 11.8 s\n"]}],"source":["%%time\n","\n","Primer_Name = []\n","Sequence = []\n","Thermo = []\n","DeltaS = []\n","DeltaG = []\n","DeltaH = []\n","\n","count = 0\n","\n","for i in tqdm(list(GENE_df.Sequence)):\n","    data = '{  \"Sequence\": \"' + i + '\",  \"NaConc\": 50,  \"FoldingTemp\": 37,\\\n","    \"MgConc\": 8, \"NucleotideType\": \"DNA\" }'\n","    response = requests.post(\n","        'https://www.idtdna.com/Restapi/v1/OligoAnalyzer/Hairpin',\n","        headers=headers,\n","        data=data)\n","    json_data = json.loads(response.text)\n","    Primer_Name.append(Sequence_dict[json_data[0]['sequence']])\n","    Sequence.append(json_data[0]['sequence'])\n","    Thermo.append(json_data[0]['thermo'])\n","    DeltaS.append(json_data[0]['deltaS'])\n","    DeltaG.append(json_data[0]['deltaG'])\n","    DeltaH.append(json_data[0]['deltaH'])\n","\n","df2 = pd.DataFrame({\n","    \"Primer Name\": Primer_Name,\n","    \"Sequence\": Sequence,\n","    \"Thermo\": Thermo,\n","    \"DeltaG\": DeltaG,\n","    \"DeltaS\": DeltaS,\n","    \"DeltaH\": DeltaH,\n","})\n","\n"]},{"cell_type":"markdown","id":"1ff9a805","metadata":{"papermill":{"duration":0.020485,"end_time":"2024-05-29T05:56:10.753079","exception":false,"start_time":"2024-05-29T05:56:10.732594","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#4086f7; font-size:22px\">If the highest hairpin Tm is at or above your annealing temperature, that hairpin is likely to impede hybridization</span>**"]},{"cell_type":"code","execution_count":13,"id":"bd558ead","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:10.794389Z","iopub.status.busy":"2024-05-29T05:56:10.793948Z","iopub.status.idle":"2024-05-29T05:56:10.819715Z","shell.execute_reply":"2024-05-29T05:56:10.818425Z"},"papermill":{"duration":0.049853,"end_time":"2024-05-29T05:56:10.822224","exception":false,"start_time":"2024-05-29T05:56:10.772371","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primer Name</th>\n","      <th>Sequence</th>\n","      <th>Thermo</th>\n","      <th>DeltaG</th>\n","      <th>DeltaS</th>\n","      <th>DeltaH</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>45.9</td>\n","      <td>-3.59</td>\n","      <td>-172.08</td>\n","      <td>-54.9</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-B3</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>30.9</td>\n","      <td>-0.23</td>\n","      <td>-38.81</td>\n","      <td>-11.8</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>42.6</td>\n","      <td>-1.77</td>\n","      <td>-100.40</td>\n","      <td>-31.7</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>49.1</td>\n","      <td>-3.46</td>\n","      <td>-143.67</td>\n","      <td>-46.3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-LF</td>\n","      <td>CGCTATTAACTATTAACG</td>\n","      <td>15.7</td>\n","      <td>0.67</td>\n","      <td>-72.02</td>\n","      <td>-20.8</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene-E1-LB</td>\n","      <td>GCGCTTCGATTGTGTGCGT</td>\n","      <td>39.4</td>\n","      <td>-1.62</td>\n","      <td>-112.64</td>\n","      <td>-35.2</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>N2-F3</td>\n","      <td>ACCAGGAACTAATCAGACAAG</td>\n","      <td>40.8</td>\n","      <td>-0.39</td>\n","      <td>-24.52</td>\n","      <td>-7.7</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>N2-B3</td>\n","      <td>GACTTGATCTTTGAAATTTGGATCT</td>\n","      <td>29.8</td>\n","      <td>-0.63</td>\n","      <td>-130.72</td>\n","      <td>-39.6</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>N2-FIP</td>\n","      <td>TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC</td>\n","      <td>41.5</td>\n","      <td>-3.16</td>\n","      <td>-191.67</td>\n","      <td>-60.3</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>N2-BIP</td>\n","      <td>CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA</td>\n","      <td>34.1</td>\n","      <td>-1.08</td>\n","      <td>-118.45</td>\n","      <td>-36.4</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>N2-LF</td>\n","      <td>GGGGGCAAATTGTGCAATTTG</td>\n","      <td>43.1</td>\n","      <td>-2.88</td>\n","      <td>-159.70</td>\n","      <td>-50.5</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>N2-LB</td>\n","      <td>CTTCGGGAACGTGGTTGACC</td>\n","      <td>44.2</td>\n","      <td>-1.46</td>\n","      <td>-75.94</td>\n","      <td>-24.1</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>ACTB-F3</td>\n","      <td>AGTACCCCATCGAGCACG</td>\n","      <td>26.0</td>\n","      <td>-0.07</td>\n","      <td>-68.86</td>\n","      <td>-20.6</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>ACTB-B3</td>\n","      <td>AGCCTGGATAGCAACGTACA</td>\n","      <td>23.6</td>\n","      <td>0.10</td>\n","      <td>-73.46</td>\n","      <td>-21.8</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>ACTB-FIP</td>\n","      <td>GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA</td>\n","      <td>41.4</td>\n","      <td>-2.79</td>\n","      <td>-170.07</td>\n","      <td>-53.5</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>ACTB-BIP</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>63.8</td>\n","      <td>-6.65</td>\n","      <td>-171.22</td>\n","      <td>-57.7</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>ACTB-LF</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>17.2</td>\n","      <td>0.67</td>\n","      <td>-85.77</td>\n","      <td>-24.9</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>ACTB-LB</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>34.4</td>\n","      <td>-0.82</td>\n","      <td>-86.48</td>\n","      <td>-26.6</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Primer Name                                      Sequence  Thermo  DeltaG  \\\n","0    Gene-E1-F3                       TGAGTACGAACTTATGTACTCAT    45.9   -3.59   \n","1    Gene-E1-B3                        TTCAGATTTTTAACACGAGAGT    30.9   -0.23   \n","2   Gene-E1-FIP    ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG    42.6   -1.77   \n","3   Gene-E1-BIP  TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT    49.1   -3.46   \n","4    Gene-E1-LF                            CGCTATTAACTATTAACG    15.7    0.67   \n","5    Gene-E1-LB                           GCGCTTCGATTGTGTGCGT    39.4   -1.62   \n","6         N2-F3                         ACCAGGAACTAATCAGACAAG    40.8   -0.39   \n","7         N2-B3                     GACTTGATCTTTGAAATTTGGATCT    29.8   -0.63   \n","8        N2-FIP    TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC    41.5   -3.16   \n","9        N2-BIP      CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA    34.1   -1.08   \n","10        N2-LF                         GGGGGCAAATTGTGCAATTTG    43.1   -2.88   \n","11        N2-LB                          CTTCGGGAACGTGGTTGACC    44.2   -1.46   \n","12      ACTB-F3                            AGTACCCCATCGAGCACG    26.0   -0.07   \n","13      ACTB-B3                          AGCCTGGATAGCAACGTACA    23.6    0.10   \n","14     ACTB-FIP      GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA    41.4   -2.79   \n","15     ACTB-BIP        CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC    63.8   -6.65   \n","16      ACTB-LF                         TGTGGTGCCAGATTTTCTCCA    17.2    0.67   \n","17      ACTB-LB                       CGAGAAGATGACCCAGATCATGT    34.4   -0.82   \n","\n","    DeltaS  DeltaH  \n","0  -172.08   -54.9  \n","1   -38.81   -11.8  \n","2  -100.40   -31.7  \n","3  -143.67   -46.3  \n","4   -72.02   -20.8  \n","5  -112.64   -35.2  \n","6   -24.52    -7.7  \n","7  -130.72   -39.6  \n","8  -191.67   -60.3  \n","9  -118.45   -36.4  \n","10 -159.70   -50.5  \n","11  -75.94   -24.1  \n","12  -68.86   -20.6  \n","13  -73.46   -21.8  \n","14 -170.07   -53.5  \n","15 -171.22   -57.7  \n","16  -85.77   -24.9  \n","17  -86.48   -26.6  "]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["df2"]},{"cell_type":"code","execution_count":14,"id":"8c41f8ee","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:10.87287Z","iopub.status.busy":"2024-05-29T05:56:10.872385Z","iopub.status.idle":"2024-05-29T05:56:10.881383Z","shell.execute_reply":"2024-05-29T05:56:10.879974Z"},"papermill":{"duration":0.042109,"end_time":"2024-05-29T05:56:10.887451","exception":false,"start_time":"2024-05-29T05:56:10.845342","status":"completed"},"tags":[]},"outputs":[],"source":["df2.to_csv('Output Data GENE Analysis/GENE_HairPins.csv', index=False)"]},{"cell_type":"code","execution_count":15,"id":"fd09bd93","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:10.931208Z","iopub.status.busy":"2024-05-29T05:56:10.930651Z","iopub.status.idle":"2024-05-29T05:56:22.574427Z","shell.execute_reply":"2024-05-29T05:56:22.572275Z"},"papermill":{"duration":11.669512,"end_time":"2024-05-29T05:56:22.578866","exception":false,"start_time":"2024-05-29T05:56:10.909354","status":"completed"},"tags":[]},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"0e3c0fac25a144eab0ec843bbb402ac2","version_major":2,"version_minor":0},"text/plain":["  0%|          | 0/18 [00:00<?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["CPU times: user 414 ms, sys: 21.8 ms, total: 436 ms\n","Wall time: 11.6 s\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primer Name</th>\n","      <th>Sequence Pair Number</th>\n","      <th>Sequence</th>\n","      <th>DeltaG</th>\n","      <th>BasePairs</th>\n","      <th>Dimer</th>\n","      <th>Bonds</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>1</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>-8.77</td>\n","      <td>7</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 2, 2, 2, 0, 0, 1, 0, 0, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-F3</td>\n","      <td>2</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>-3.65</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 2, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-B3</td>\n","      <td>1</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>-4.85</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 2, 2, 2, 0, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-B3</td>\n","      <td>2</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>-3.61</td>\n","      <td>2</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 1, 0, 2, 2, 0, 1, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>1</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>-9.08</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 1, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>2</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>-8.47</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>1</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>-8.64</td>\n","      <td>6</td>\n","      <td>None</td>\n","      <td>[1, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>2</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>-6.30</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Gene-E1-LF</td>\n","      <td>1</td>\n","      <td>CGCTATTAACTATTAACG</td>\n","      <td>-4.85</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Gene-E1-LF</td>\n","      <td>2</td>\n","      <td>CGCTATTAACTATTAACG</td>\n","      <td>-4.85</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 2, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Gene-E1-LB</td>\n","      <td>1</td>\n","      <td>GCGCTTCGATTGTGTGCGT</td>\n","      <td>-9.89</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Gene-E1-LB</td>\n","      <td>2</td>\n","      <td>GCGCTTCGATTGTGTGCGT</td>\n","      <td>-6.76</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>N2-F3</td>\n","      <td>1</td>\n","      <td>ACCAGGAACTAATCAGACAAG</td>\n","      <td>-3.07</td>\n","      <td>2</td>\n","      <td>None</td>\n","      <td>[0, 2, 2, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>N2-F3</td>\n","      <td>2</td>\n","      <td>ACCAGGAACTAATCAGACAAG</td>\n","      <td>-1.60</td>\n","      <td>2</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 2, 2, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>N2-B3</td>\n","      <td>1</td>\n","      <td>GACTTGATCTTTGAAATTTGGATCT</td>\n","      <td>-9.25</td>\n","      <td>6</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 1, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>N2-B3</td>\n","      <td>2</td>\n","      <td>GACTTGATCTTTGAAATTTGGATCT</td>\n","      <td>-4.62</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>N2-FIP</td>\n","      <td>1</td>\n","      <td>TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC</td>\n","      <td>-10.20</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>N2-FIP</td>\n","      <td>2</td>\n","      <td>TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC</td>\n","      <td>-9.28</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>N2-BIP</td>\n","      <td>1</td>\n","      <td>CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA</td>\n","      <td>-5.38</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 1, 0, 1, 0, 0, 2, 2, 2, 2, 0, 0, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>N2-BIP</td>\n","      <td>2</td>\n","      <td>CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA</td>\n","      <td>-5.37</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 2, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>N2-LF</td>\n","      <td>1</td>\n","      <td>GGGGGCAAATTGTGCAATTTG</td>\n","      <td>-11.22</td>\n","      <td>7</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>N2-LF</td>\n","      <td>2</td>\n","      <td>GGGGGCAAATTGTGCAATTTG</td>\n","      <td>-7.05</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 1, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>N2-LB</td>\n","      <td>1</td>\n","      <td>CTTCGGGAACGTGGTTGACC</td>\n","      <td>-6.30</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 1, 1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>N2-LB</td>\n","      <td>2</td>\n","      <td>CTTCGGGAACGTGGTTGACC</td>\n","      <td>-4.41</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>ACTB-F3</td>\n","      <td>1</td>\n","      <td>AGTACCCCATCGAGCACG</td>\n","      <td>-6.76</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>ACTB-F3</td>\n","      <td>2</td>\n","      <td>AGTACCCCATCGAGCACG</td>\n","      <td>-3.65</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>ACTB-B3</td>\n","      <td>1</td>\n","      <td>AGCCTGGATAGCAACGTACA</td>\n","      <td>-6.30</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>ACTB-B3</td>\n","      <td>2</td>\n","      <td>AGCCTGGATAGCAACGTACA</td>\n","      <td>-3.65</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>ACTB-FIP</td>\n","      <td>1</td>\n","      <td>GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA</td>\n","      <td>-6.34</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 2, 2, 2, 2, ...</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>ACTB-FIP</td>\n","      <td>2</td>\n","      <td>GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA</td>\n","      <td>-6.31</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>ACTB-BIP</td>\n","      <td>1</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>-12.50</td>\n","      <td>6</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>ACTB-BIP</td>\n","      <td>2</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>-9.75</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>ACTB-LF</td>\n","      <td>1</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>-5.02</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>[1, 0, 2, 2, 2, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>ACTB-LF</td>\n","      <td>2</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>-5.02</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>ACTB-LB</td>\n","      <td>1</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-5.38</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>ACTB-LB</td>\n","      <td>2</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-5.00</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 2, 2, 2, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Primer Name  Sequence Pair Number  \\\n","0    Gene-E1-F3                     1   \n","1    Gene-E1-F3                     2   \n","2    Gene-E1-B3                     1   \n","3    Gene-E1-B3                     2   \n","4   Gene-E1-FIP                     1   \n","5   Gene-E1-FIP                     2   \n","6   Gene-E1-BIP                     1   \n","7   Gene-E1-BIP                     2   \n","8    Gene-E1-LF                     1   \n","9    Gene-E1-LF                     2   \n","10   Gene-E1-LB                     1   \n","11   Gene-E1-LB                     2   \n","12        N2-F3                     1   \n","13        N2-F3                     2   \n","14        N2-B3                     1   \n","15        N2-B3                     2   \n","16       N2-FIP                     1   \n","17       N2-FIP                     2   \n","18       N2-BIP                     1   \n","19       N2-BIP                     2   \n","20        N2-LF                     1   \n","21        N2-LF                     2   \n","22        N2-LB                     1   \n","23        N2-LB                     2   \n","24      ACTB-F3                     1   \n","25      ACTB-F3                     2   \n","26      ACTB-B3                     1   \n","27      ACTB-B3                     2   \n","28     ACTB-FIP                     1   \n","29     ACTB-FIP                     2   \n","30     ACTB-BIP                     1   \n","31     ACTB-BIP                     2   \n","32      ACTB-LF                     1   \n","33      ACTB-LF                     2   \n","34      ACTB-LB                     1   \n","35      ACTB-LB                     2   \n","\n","                                        Sequence  DeltaG  BasePairs Dimer  \\\n","0                        TGAGTACGAACTTATGTACTCAT   -8.77          7  None   \n","1                        TGAGTACGAACTTATGTACTCAT   -3.65          4  None   \n","2                         TTCAGATTTTTAACACGAGAGT   -4.85          4  None   \n","3                         TTCAGATTTTTAACACGAGAGT   -3.61          2  None   \n","4     ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG   -9.08          5  None   \n","5     ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG   -8.47          5  None   \n","6   TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT   -8.64          6  None   \n","7   TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT   -6.30          4  None   \n","8                             CGCTATTAACTATTAACG   -4.85          4  None   \n","9                             CGCTATTAACTATTAACG   -4.85          4  None   \n","10                           GCGCTTCGATTGTGTGCGT   -9.89          4  None   \n","11                           GCGCTTCGATTGTGTGCGT   -6.76          4  None   \n","12                         ACCAGGAACTAATCAGACAAG   -3.07          2  None   \n","13                         ACCAGGAACTAATCAGACAAG   -1.60          2  None   \n","14                     GACTTGATCTTTGAAATTTGGATCT   -9.25          6  None   \n","15                     GACTTGATCTTTGAAATTTGGATCT   -4.62          4  None   \n","16    TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC  -10.20          5  None   \n","17    TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC   -9.28          4  None   \n","18      CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA   -5.38          4  None   \n","19      CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA   -5.37          4  None   \n","20                         GGGGGCAAATTGTGCAATTTG  -11.22          7  None   \n","21                         GGGGGCAAATTGTGCAATTTG   -7.05          4  None   \n","22                          CTTCGGGAACGTGGTTGACC   -6.30          4  None   \n","23                          CTTCGGGAACGTGGTTGACC   -4.41          3  None   \n","24                            AGTACCCCATCGAGCACG   -6.76          4  None   \n","25                            AGTACCCCATCGAGCACG   -3.65          4  None   \n","26                          AGCCTGGATAGCAACGTACA   -6.30          4  None   \n","27                          AGCCTGGATAGCAACGTACA   -3.65          4  None   \n","28      GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA   -6.34          4  None   \n","29      GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA   -6.31          4  None   \n","30        CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC  -12.50          6  None   \n","31        CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC   -9.75          4  None   \n","32                         TGTGGTGCCAGATTTTCTCCA   -5.02          3  None   \n","33                         TGTGGTGCCAGATTTTCTCCA   -5.02          3  None   \n","34                       CGAGAAGATGACCCAGATCATGT   -5.38          4  None   \n","35                       CGAGAAGATGACCCAGATCATGT   -5.00          4  None   \n","\n","                                                Bonds  \n","0   [2, 2, 2, 2, 2, 2, 2, 0, 0, 1, 0, 0, 1, 0, 0, ...  \n","1   [1, 0, 0, 2, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 0, ...  \n","2   [0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 2, 2, 2, 0, 1, ...  \n","3   [0, 0, 0, 1, 0, 2, 2, 0, 1, 0, 0, 0, 0, 0, 0, ...  \n","4   [0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 1, 1, 0, 0, ...  \n","5   [0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, ...  \n","6   [1, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, ...  \n","7   [2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","8   [0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...  \n","9   [0, 0, 2, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, ...  \n","10  [2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","11  [0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...  \n","12  [0, 2, 2, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","13  [1, 0, 0, 2, 2, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, ...  \n","14  [0, 0, 0, 1, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 1, ...  \n","15  [0, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, ...  \n","16  [2, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, ...  \n","17  [2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","18  [0, 0, 0, 1, 0, 1, 0, 0, 2, 2, 2, 2, 0, 0, 1, ...  \n","19  [1, 0, 0, 2, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 0, ...  \n","20  [2, 2, 2, 2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1, 1, ...  \n","21  [0, 1, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 1, 0, 0, ...  \n","22  [0, 0, 1, 1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, ...  \n","23  [2, 2, 2, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, ...  \n","24  [1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, ...  \n","25  [0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","26  [0, 0, 0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","27  [0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","28  [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 2, 2, 2, 2, ...  \n","29  [2, 2, 2, 2, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, ...  \n","30  [1, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, ...  \n","31  [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, ...  \n","32  [1, 0, 2, 2, 2, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, ...  \n","33  [2, 2, 2, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, ...  \n","34  [0, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","35  [1, 0, 2, 2, 2, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, ...  "]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["%%time\n","\n","Primer_Name = []\n","Sequence_Bonds = []\n","Sequence_Sequences = []\n","Sequence_DeltaG = []\n","Sequence_BasePairs = []\n","Sequence_Dimer = []\n","Sequence_SequencePair = []\n","count = 1\n","\n","for i in tqdm(list(GENE_df.Sequence)):\n","    #     print(str(i))\n","    params = {\n","        'primary': str(i),\n","    }\n","    temp = 1\n","    response = requests.post(\n","        'https://www.idtdna.com/Restapi/v1/OligoAnalyzer/SelfDimer',\n","        params=params,\n","        headers=headers)\n","    json_data_Sequence = json.loads(response.text)\n","    Primer_Name.append(Sequence_dict[i])\n","    Sequence_Sequences.append(i)\n","    Sequence_DeltaG.append(json_data_Sequence[0]['DeltaG'])\n","    Sequence_BasePairs.append(json_data_Sequence[0]['BasePairs'])\n","    Sequence_Dimer.append(json_data_Sequence[0]['Dimer'])\n","    Sequence_Bonds.append(json_data_Sequence[0]['Bonds'])\n","    Sequence_SequencePair.append(temp)\n","    temp = temp + 1\n","    Sequence_Sequences.append(i)\n","    Primer_Name.append(Sequence_dict[i])\n","    Sequence_DeltaG.append(json_data_Sequence[1]['DeltaG'])\n","    Sequence_BasePairs.append(json_data_Sequence[1]['BasePairs'])\n","    Sequence_Dimer.append(json_data_Sequence[1]['Dimer'])\n","    Sequence_Bonds.append(json_data_Sequence[1]['Bonds'])\n","    Sequence_SequencePair.append(temp)\n","    temp = 1\n","\n","\n","\n","df3=pd.DataFrame({\"Primer Name\":Primer_Name,'Sequence Pair Number':Sequence_SequencePair,'Sequence':Sequence_Sequences,'DeltaG':Sequence_DeltaG,\\\n","                  'BasePairs':Sequence_BasePairs,'Dimer':Sequence_Dimer,'Bonds':Sequence_Bonds,})\n","df3"]},{"cell_type":"code","execution_count":16,"id":"77ddcabd","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:22.625677Z","iopub.status.busy":"2024-05-29T05:56:22.625174Z","iopub.status.idle":"2024-05-29T05:56:22.632609Z","shell.execute_reply":"2024-05-29T05:56:22.631431Z"},"papermill":{"duration":0.034961,"end_time":"2024-05-29T05:56:22.635166","exception":false,"start_time":"2024-05-29T05:56:22.600205","status":"completed"},"tags":[]},"outputs":[],"source":["df3.to_csv('Output Data GENE Analysis/GENE_SelfDimers.csv', index=False)"]},{"cell_type":"code","execution_count":17,"id":"3a39cb0c","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:22.687293Z","iopub.status.busy":"2024-05-29T05:56:22.686808Z","iopub.status.idle":"2024-05-29T05:56:22.703815Z","shell.execute_reply":"2024-05-29T05:56:22.702388Z"},"papermill":{"duration":0.048356,"end_time":"2024-05-29T05:56:22.706364","exception":false,"start_time":"2024-05-29T05:56:22.658008","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primer name</th>\n","      <th>Sequence</th>\n","      <th>Synthesis scale</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-B3</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-FIP</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-BIP</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-LF</td>\n","      <td>CGCTATTAACTATTAACG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene-E1-LB</td>\n","      <td>GCGCTTCGATTGTGTGCGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>N2-F3</td>\n","      <td>ACCAGGAACTAATCAGACAAG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>N2-B3</td>\n","      <td>GACTTGATCTTTGAAATTTGGATCT</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>N2-FIP</td>\n","      <td>TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>N2-BIP</td>\n","      <td>CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>N2-LF</td>\n","      <td>GGGGGCAAATTGTGCAATTTG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>N2-LB</td>\n","      <td>CTTCGGGAACGTGGTTGACC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>ACTB-F3</td>\n","      <td>AGTACCCCATCGAGCACG</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>ACTB-B3</td>\n","      <td>AGCCTGGATAGCAACGTACA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>ACTB-FIP</td>\n","      <td>GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>ACTB-BIP</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>ACTB-LF</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>10 nm</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>ACTB-LB</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>10 nm</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Primer name                                      Sequence Synthesis scale\n","0    Gene-E1-F3                       TGAGTACGAACTTATGTACTCAT           10 nm\n","1    Gene-E1-B3                        TTCAGATTTTTAACACGAGAGT           10 nm\n","2   Gene-E1-FIP    ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG           10 nm\n","3   Gene-E1-BIP  TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT           10 nm\n","4    Gene-E1-LF                            CGCTATTAACTATTAACG           10 nm\n","5    Gene-E1-LB                           GCGCTTCGATTGTGTGCGT           10 nm\n","6         N2-F3                         ACCAGGAACTAATCAGACAAG           10 nm\n","7         N2-B3                     GACTTGATCTTTGAAATTTGGATCT           10 nm\n","8        N2-FIP    TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC           10 nm\n","9        N2-BIP      CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA           10 nm\n","10        N2-LF                         GGGGGCAAATTGTGCAATTTG           10 nm\n","11        N2-LB                          CTTCGGGAACGTGGTTGACC           10 nm\n","12      ACTB-F3                            AGTACCCCATCGAGCACG           10 nm\n","13      ACTB-B3                          AGCCTGGATAGCAACGTACA           10 nm\n","14     ACTB-FIP      GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA           10 nm\n","15     ACTB-BIP        CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC           10 nm\n","16      ACTB-LF                         TGTGGTGCCAGATTTTCTCCA           10 nm\n","17      ACTB-LB                       CGAGAAGATGACCCAGATCATGT           10 nm"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["GENE_df"]},{"cell_type":"code","execution_count":18,"id":"508dd29b","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:22.749796Z","iopub.status.busy":"2024-05-29T05:56:22.749354Z","iopub.status.idle":"2024-05-29T05:56:22.764509Z","shell.execute_reply":"2024-05-29T05:56:22.762957Z"},"papermill":{"duration":0.039846,"end_time":"2024-05-29T05:56:22.767202","exception":false,"start_time":"2024-05-29T05:56:22.727356","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["All the possible Primer Dimer possible Sets are \n","\n","[('TGAGTACGAACTTATGTACTCAT', 'TTCAGATTTTTAACACGAGAGT'), ('TGAGTACGAACTTATGTACTCAT', 'ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG'), ('TGAGTACGAACTTATGTACTCAT', 'TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT'), ('TGAGTACGAACTTATGTACTCAT', 'CGCTATTAACTATTAACG'), ('TGAGTACGAACTTATGTACTCAT', 'GCGCTTCGATTGTGTGCGT'), ('TGAGTACGAACTTATGTACTCAT', 'ACCAGGAACTAATCAGACAAG'), ('TGAGTACGAACTTATGTACTCAT', 'GACTTGATCTTTGAAATTTGGATCT'), ('TGAGTACGAACTTATGTACTCAT', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('TGAGTACGAACTTATGTACTCAT', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('TGAGTACGAACTTATGTACTCAT', 'GGGGGCAAATTGTGCAATTTG'), ('TGAGTACGAACTTATGTACTCAT', 'CTTCGGGAACGTGGTTGACC'), ('TGAGTACGAACTTATGTACTCAT', 'AGTACCCCATCGAGCACG'), ('TGAGTACGAACTTATGTACTCAT', 'AGCCTGGATAGCAACGTACA'), ('TGAGTACGAACTTATGTACTCAT', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('TGAGTACGAACTTATGTACTCAT', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('TGAGTACGAACTTATGTACTCAT', 'TGTGGTGCCAGATTTTCTCCA'), ('TGAGTACGAACTTATGTACTCAT', 'CGAGAAGATGACCCAGATCATGT'), ('TTCAGATTTTTAACACGAGAGT', 'ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG'), ('TTCAGATTTTTAACACGAGAGT', 'TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT'), ('TTCAGATTTTTAACACGAGAGT', 'CGCTATTAACTATTAACG'), ('TTCAGATTTTTAACACGAGAGT', 'GCGCTTCGATTGTGTGCGT'), ('TTCAGATTTTTAACACGAGAGT', 'ACCAGGAACTAATCAGACAAG'), ('TTCAGATTTTTAACACGAGAGT', 'GACTTGATCTTTGAAATTTGGATCT'), ('TTCAGATTTTTAACACGAGAGT', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('TTCAGATTTTTAACACGAGAGT', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('TTCAGATTTTTAACACGAGAGT', 'GGGGGCAAATTGTGCAATTTG'), ('TTCAGATTTTTAACACGAGAGT', 'CTTCGGGAACGTGGTTGACC'), ('TTCAGATTTTTAACACGAGAGT', 'AGTACCCCATCGAGCACG'), ('TTCAGATTTTTAACACGAGAGT', 'AGCCTGGATAGCAACGTACA'), ('TTCAGATTTTTAACACGAGAGT', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('TTCAGATTTTTAACACGAGAGT', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('TTCAGATTTTTAACACGAGAGT', 'TGTGGTGCCAGATTTTCTCCA'), ('TTCAGATTTTTAACACGAGAGT', 'CGAGAAGATGACCCAGATCATGT'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'CGCTATTAACTATTAACG'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'GCGCTTCGATTGTGTGCGT'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'ACCAGGAACTAATCAGACAAG'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'GACTTGATCTTTGAAATTTGGATCT'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'GGGGGCAAATTGTGCAATTTG'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'CTTCGGGAACGTGGTTGACC'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'AGTACCCCATCGAGCACG'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'AGCCTGGATAGCAACGTACA'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'TGTGGTGCCAGATTTTCTCCA'), ('ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG', 'CGAGAAGATGACCCAGATCATGT'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'CGCTATTAACTATTAACG'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'GCGCTTCGATTGTGTGCGT'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'ACCAGGAACTAATCAGACAAG'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'GACTTGATCTTTGAAATTTGGATCT'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'GGGGGCAAATTGTGCAATTTG'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'CTTCGGGAACGTGGTTGACC'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'AGTACCCCATCGAGCACG'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'AGCCTGGATAGCAACGTACA'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'TGTGGTGCCAGATTTTCTCCA'), ('TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT', 'CGAGAAGATGACCCAGATCATGT'), ('CGCTATTAACTATTAACG', 'GCGCTTCGATTGTGTGCGT'), ('CGCTATTAACTATTAACG', 'ACCAGGAACTAATCAGACAAG'), ('CGCTATTAACTATTAACG', 'GACTTGATCTTTGAAATTTGGATCT'), ('CGCTATTAACTATTAACG', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('CGCTATTAACTATTAACG', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('CGCTATTAACTATTAACG', 'GGGGGCAAATTGTGCAATTTG'), ('CGCTATTAACTATTAACG', 'CTTCGGGAACGTGGTTGACC'), ('CGCTATTAACTATTAACG', 'AGTACCCCATCGAGCACG'), ('CGCTATTAACTATTAACG', 'AGCCTGGATAGCAACGTACA'), ('CGCTATTAACTATTAACG', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('CGCTATTAACTATTAACG', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('CGCTATTAACTATTAACG', 'TGTGGTGCCAGATTTTCTCCA'), ('CGCTATTAACTATTAACG', 'CGAGAAGATGACCCAGATCATGT'), ('GCGCTTCGATTGTGTGCGT', 'ACCAGGAACTAATCAGACAAG'), ('GCGCTTCGATTGTGTGCGT', 'GACTTGATCTTTGAAATTTGGATCT'), ('GCGCTTCGATTGTGTGCGT', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('GCGCTTCGATTGTGTGCGT', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('GCGCTTCGATTGTGTGCGT', 'GGGGGCAAATTGTGCAATTTG'), ('GCGCTTCGATTGTGTGCGT', 'CTTCGGGAACGTGGTTGACC'), ('GCGCTTCGATTGTGTGCGT', 'AGTACCCCATCGAGCACG'), ('GCGCTTCGATTGTGTGCGT', 'AGCCTGGATAGCAACGTACA'), ('GCGCTTCGATTGTGTGCGT', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('GCGCTTCGATTGTGTGCGT', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('GCGCTTCGATTGTGTGCGT', 'TGTGGTGCCAGATTTTCTCCA'), ('GCGCTTCGATTGTGTGCGT', 'CGAGAAGATGACCCAGATCATGT'), ('ACCAGGAACTAATCAGACAAG', 'GACTTGATCTTTGAAATTTGGATCT'), ('ACCAGGAACTAATCAGACAAG', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('ACCAGGAACTAATCAGACAAG', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('ACCAGGAACTAATCAGACAAG', 'GGGGGCAAATTGTGCAATTTG'), ('ACCAGGAACTAATCAGACAAG', 'CTTCGGGAACGTGGTTGACC'), ('ACCAGGAACTAATCAGACAAG', 'AGTACCCCATCGAGCACG'), ('ACCAGGAACTAATCAGACAAG', 'AGCCTGGATAGCAACGTACA'), ('ACCAGGAACTAATCAGACAAG', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('ACCAGGAACTAATCAGACAAG', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('ACCAGGAACTAATCAGACAAG', 'TGTGGTGCCAGATTTTCTCCA'), ('ACCAGGAACTAATCAGACAAG', 'CGAGAAGATGACCCAGATCATGT'), ('GACTTGATCTTTGAAATTTGGATCT', 'TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC'), ('GACTTGATCTTTGAAATTTGGATCT', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('GACTTGATCTTTGAAATTTGGATCT', 'GGGGGCAAATTGTGCAATTTG'), ('GACTTGATCTTTGAAATTTGGATCT', 'CTTCGGGAACGTGGTTGACC'), ('GACTTGATCTTTGAAATTTGGATCT', 'AGTACCCCATCGAGCACG'), ('GACTTGATCTTTGAAATTTGGATCT', 'AGCCTGGATAGCAACGTACA'), ('GACTTGATCTTTGAAATTTGGATCT', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('GACTTGATCTTTGAAATTTGGATCT', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('GACTTGATCTTTGAAATTTGGATCT', 'TGTGGTGCCAGATTTTCTCCA'), ('GACTTGATCTTTGAAATTTGGATCT', 'CGAGAAGATGACCCAGATCATGT'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'GGGGGCAAATTGTGCAATTTG'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'CTTCGGGAACGTGGTTGACC'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'AGTACCCCATCGAGCACG'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'AGCCTGGATAGCAACGTACA'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'TGTGGTGCCAGATTTTCTCCA'), ('TTCCGAAGAACGCTGAAGCGGAACTGATTACAAACATTGGCC', 'CGAGAAGATGACCCAGATCATGT'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'GGGGGCAAATTGTGCAATTTG'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'CTTCGGGAACGTGGTTGACC'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'AGTACCCCATCGAGCACG'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'AGCCTGGATAGCAACGTACA'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'TGTGGTGCCAGATTTTCTCCA'), ('CGCATTGGCATGGAAGTCACAATTTGATGGCACCTGTGTA', 'CGAGAAGATGACCCAGATCATGT'), ('GGGGGCAAATTGTGCAATTTG', 'CTTCGGGAACGTGGTTGACC'), ('GGGGGCAAATTGTGCAATTTG', 'AGTACCCCATCGAGCACG'), ('GGGGGCAAATTGTGCAATTTG', 'AGCCTGGATAGCAACGTACA'), ('GGGGGCAAATTGTGCAATTTG', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('GGGGGCAAATTGTGCAATTTG', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('GGGGGCAAATTGTGCAATTTG', 'TGTGGTGCCAGATTTTCTCCA'), ('GGGGGCAAATTGTGCAATTTG', 'CGAGAAGATGACCCAGATCATGT'), ('CTTCGGGAACGTGGTTGACC', 'AGTACCCCATCGAGCACG'), ('CTTCGGGAACGTGGTTGACC', 'AGCCTGGATAGCAACGTACA'), ('CTTCGGGAACGTGGTTGACC', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('CTTCGGGAACGTGGTTGACC', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('CTTCGGGAACGTGGTTGACC', 'TGTGGTGCCAGATTTTCTCCA'), ('CTTCGGGAACGTGGTTGACC', 'CGAGAAGATGACCCAGATCATGT'), ('AGTACCCCATCGAGCACG', 'AGCCTGGATAGCAACGTACA'), ('AGTACCCCATCGAGCACG', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('AGTACCCCATCGAGCACG', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('AGTACCCCATCGAGCACG', 'TGTGGTGCCAGATTTTCTCCA'), ('AGTACCCCATCGAGCACG', 'CGAGAAGATGACCCAGATCATGT'), ('AGCCTGGATAGCAACGTACA', 'GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA'), ('AGCCTGGATAGCAACGTACA', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('AGCCTGGATAGCAACGTACA', 'TGTGGTGCCAGATTTTCTCCA'), ('AGCCTGGATAGCAACGTACA', 'CGAGAAGATGACCCAGATCATGT'), ('GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA', 'CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC'), ('GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA', 'TGTGGTGCCAGATTTTCTCCA'), ('GAGCCACACGCAGCTCATTGTATCACCAACTGGGACGACA', 'CGAGAAGATGACCCAGATCATGT'), ('CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC', 'TGTGGTGCCAGATTTTCTCCA'), ('CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC', 'CGAGAAGATGACCCAGATCATGT'), ('TGTGGTGCCAGATTTTCTCCA', 'CGAGAAGATGACCCAGATCATGT')]\n"]}],"source":["def SequencePairs(arr, n):\n","    a=[]\n","    for i in range(n):\n","        for j in range(n):\n","            a.append((arr[i],arr[j]))    \n","    return a\n"," \n","list_GENE_SEQUENCE=GENE_df.Sequence\n","n = len(list_GENE_SEQUENCE)\n"," \n","SequencePairs_list = SequencePairs(list_GENE_SEQUENCE, n)\n","\n","\n","for i in SequencePairs_list:\n","    if i[0]==i[1]:\n","        SequencePairs_list.remove(i)\n","        \n","        \n","        \n","        \n","for i in SequencePairs_list:\n","    if (i[0],i[1]) in SequencePairs_list and (i[1],i[0]) in SequencePairs_list:\n","        SequencePairs_list.remove((i[1],i[0]))\n","print('All the possible Primer Dimer possible Sets are \\n')        \n","print(SequencePairs_list)"]},{"cell_type":"code","execution_count":19,"id":"0cdaaeda","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:56:22.825424Z","iopub.status.busy":"2024-05-29T05:56:22.824117Z","iopub.status.idle":"2024-05-29T05:58:01.664893Z","shell.execute_reply":"2024-05-29T05:58:01.663139Z"},"papermill":{"duration":98.876612,"end_time":"2024-05-29T05:58:01.669916","exception":false,"start_time":"2024-05-29T05:56:22.793304","status":"completed"},"tags":[]},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"44cc0a027d6041ab8d274577ac703e97","version_major":2,"version_minor":0},"text/plain":["  0%|          | 0/153 [00:00<?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["CPU times: user 3.21 s, sys: 229 ms, total: 3.44 s\n","Wall time: 1min 38s\n"]}],"source":["%%time\n","\n","Sequence_Name1 = []\n","Sequence_Name2 = []\n","Sequence_Bonds = []\n","Sequence_Sequences1 = []\n","Sequence_Sequences2 = []\n","Sequence_DeltaG = []\n","Sequence_BasePairs = []\n","Sequence_Dimer = []\n","Sequence_SequencePair = []\n","count = 1\n","for i in tqdm(SequencePairs_list):\n","    try:\n","        temp=0\n","        params = {\n","            'primary': i[0],\n","            'secondary': i[1],}\n","        response = requests.post('https://www.idtdna.com/Restapi/v1/OligoAnalyzer/HeteroDimer', params=params, headers=headers)\n","\n","        json_data_Sequence = json.loads(response.text)\n","\n","        Sequence_Name1.append(Sequence_dict[i[0]])\n","        Sequence_Name2.append(Sequence_dict[i[1]])\n","        Sequence_Sequences1.append(i[0])\n","        Sequence_Sequences2.append(i[1])\n","        Sequence_DeltaG.append(json_data_Sequence[0]['DeltaG'])\n","        Sequence_BasePairs.append(json_data_Sequence[0]['BasePairs'])\n","        Sequence_Dimer.append(json_data_Sequence[0]['Dimer'])\n","        Sequence_Bonds.append(json_data_Sequence[0]['Bonds'])\n","        Sequence_SequencePair.append(temp)\n","        temp = temp + 1\n","        Sequence_Name1.append(Sequence_dict[i[0]])\n","        Sequence_Name2.append(Sequence_dict[i[1]])\n","        Sequence_Sequences1.append(i[0])\n","        Sequence_Sequences2.append(i[1])\n","        Sequence_DeltaG.append(json_data_Sequence[1]['DeltaG'])\n","        Sequence_BasePairs.append(json_data_Sequence[1]['BasePairs'])\n","        Sequence_Dimer.append(json_data_Sequence[1]['Dimer'])\n","        Sequence_Bonds.append(json_data_Sequence[1]['Bonds'])\n","        Sequence_SequencePair.append(temp)\n","        temp = 1\n","    except:\n","        print(\"Passed \",i)"]},{"cell_type":"markdown","id":"a576e9c5","metadata":{"papermill":{"duration":0.022473,"end_time":"2024-05-29T05:58:01.715526","exception":false,"start_time":"2024-05-29T05:58:01.693053","status":"completed"},"tags":[]},"source":["- **<span style=\"color:#4086f7; font-size:20px\">The Delta G value of any heterodimers should be weaker (more positive) than -9.0 kcal/mole.</span>** \n","- **<span style=\"color:#4086f7; font-size:20px\">Positive numbers indicate that the actual secondary structure shown will not form at all.</span>**"]},{"cell_type":"code","execution_count":20,"id":"69095e7d","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:58:01.76085Z","iopub.status.busy":"2024-05-29T05:58:01.760417Z","iopub.status.idle":"2024-05-29T05:58:01.805362Z","shell.execute_reply":"2024-05-29T05:58:01.804123Z"},"papermill":{"duration":0.070444,"end_time":"2024-05-29T05:58:01.807781","exception":false,"start_time":"2024-05-29T05:58:01.737337","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Primary Sequence name</th>\n","      <th>Secondary Sequence name</th>\n","      <th>Sequence Pair Number</th>\n","      <th>Primary Sequence</th>\n","      <th>Secondary Sequence</th>\n","      <th>DeltaG</th>\n","      <th>BasePairs</th>\n","      <th>Dimer</th>\n","      <th>Bonds</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene-E1-F3</td>\n","      <td>Gene-E1-B3</td>\n","      <td>0</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>-4.52</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene-E1-F3</td>\n","      <td>Gene-E1-B3</td>\n","      <td>1</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>TTCAGATTTTTAACACGAGAGT</td>\n","      <td>-3.61</td>\n","      <td>2</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 1, 0, 1, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene-E1-F3</td>\n","      <td>Gene-E1-FIP</td>\n","      <td>0</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>-13.36</td>\n","      <td>8</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 0, 1, ...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene-E1-F3</td>\n","      <td>Gene-E1-FIP</td>\n","      <td>1</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG</td>\n","      <td>-7.13</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 1, 0, 2, 2, 2, 2, 0, 0, 0, 1, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene-E1-F3</td>\n","      <td>Gene-E1-BIP</td>\n","      <td>0</td>\n","      <td>TGAGTACGAACTTATGTACTCAT</td>\n","      <td>TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT</td>\n","      <td>-6.47</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>301</th>\n","      <td>ACTB-BIP</td>\n","      <td>ACTB-LF</td>\n","      <td>1</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>-6.21</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>302</th>\n","      <td>ACTB-BIP</td>\n","      <td>ACTB-LB</td>\n","      <td>0</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-9.69</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[0, 0, 1, 0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>303</th>\n","      <td>ACTB-BIP</td>\n","      <td>ACTB-LB</td>\n","      <td>1</td>\n","      <td>CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-7.48</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>[1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, ...</td>\n","    </tr>\n","    <tr>\n","      <th>304</th>\n","      <td>ACTB-LF</td>\n","      <td>ACTB-LB</td>\n","      <td>0</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-6.69</td>\n","      <td>5</td>\n","      <td>None</td>\n","      <td>[1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 2, ...</td>\n","    </tr>\n","    <tr>\n","      <th>305</th>\n","      <td>ACTB-LF</td>\n","      <td>ACTB-LB</td>\n","      <td>1</td>\n","      <td>TGTGGTGCCAGATTTTCTCCA</td>\n","      <td>CGAGAAGATGACCCAGATCATGT</td>\n","      <td>-5.02</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>[1, 0, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>306 rows × 9 columns</p>\n","</div>"],"text/plain":["    Primary Sequence name Secondary Sequence name  Sequence Pair Number  \\\n","0              Gene-E1-F3              Gene-E1-B3                     0   \n","1              Gene-E1-F3              Gene-E1-B3                     1   \n","2              Gene-E1-F3             Gene-E1-FIP                     0   \n","3              Gene-E1-F3             Gene-E1-FIP                     1   \n","4              Gene-E1-F3             Gene-E1-BIP                     0   \n","..                    ...                     ...                   ...   \n","301              ACTB-BIP                 ACTB-LF                     1   \n","302              ACTB-BIP                 ACTB-LB                     0   \n","303              ACTB-BIP                 ACTB-LB                     1   \n","304               ACTB-LF                 ACTB-LB                     0   \n","305               ACTB-LF                 ACTB-LB                     1   \n","\n","                           Primary Sequence  \\\n","0                   TGAGTACGAACTTATGTACTCAT   \n","1                   TGAGTACGAACTTATGTACTCAT   \n","2                   TGAGTACGAACTTATGTACTCAT   \n","3                   TGAGTACGAACTTATGTACTCAT   \n","4                   TGAGTACGAACTTATGTACTCAT   \n","..                                      ...   \n","301  CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC   \n","302  CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC   \n","303  CTGAACCCCAAGGCCAACCGGCTGGGGTGTTGAAGGTC   \n","304                   TGTGGTGCCAGATTTTCTCCA   \n","305                   TGTGGTGCCAGATTTTCTCCA   \n","\n","                               Secondary Sequence  DeltaG  BasePairs Dimer  \\\n","0                          TTCAGATTTTTAACACGAGAGT   -4.52          4  None   \n","1                          TTCAGATTTTTAACACGAGAGT   -3.61          2  None   \n","2      ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG  -13.36          8  None   \n","3      ACCACGAAAGCAAGAAAAAGAAGTTCGTTTCGGAAGAGACAG   -7.13          4  None   \n","4    TTGCTAGTTACACTAGCCATCCTTAGGTTTTACAAGACTCACGT   -6.47          5  None   \n","..                                            ...     ...        ...   ...   \n","301                         TGTGGTGCCAGATTTTCTCCA   -6.21          3  None   \n","302                       CGAGAAGATGACCCAGATCATGT   -9.69          5  None   \n","303                       CGAGAAGATGACCCAGATCATGT   -7.48          4  None   \n","304                       CGAGAAGATGACCCAGATCATGT   -6.69          5  None   \n","305                       CGAGAAGATGACCCAGATCATGT   -5.02          3  None   \n","\n","                                                 Bonds  \n","0    [2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n","1    [0, 0, 0, 0, 0, 2, 2, 0, 0, 0, 1, 0, 1, 0, 0, ...  \n","2    [0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 0, 1, ...  \n","3    [0, 0, 0, 0, 1, 0, 2, 2, 2, 2, 0, 0, 0, 1, 0, ...  \n","4    [2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, ...  \n","..                                                 ...  \n","301  [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, ...  \n","302  [0, 0, 1, 0, 0, 0, 0, 2, 2, 2, 2, 2, 0, 0, 0, ...  \n","303  [1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 2, 2, 2, 0, 0, ...  \n","304  [1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 2, ...  \n","305  [1, 0, 2, 2, 2, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, ...  \n","\n","[306 rows x 9 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["df4=pd.DataFrame({'Primary Sequence name':Sequence_Name1,'Secondary Sequence name':Sequence_Name2,\\\n","                  'Sequence Pair Number':Sequence_SequencePair,'Primary Sequence':Sequence_Sequences1,\\\n","                  'Secondary Sequence':Sequence_Sequences2,'DeltaG':Sequence_DeltaG,\\\n","                  'BasePairs':Sequence_BasePairs,'Dimer':Sequence_Dimer,'Bonds':Sequence_Bonds,})\n","df4"]},{"cell_type":"code","execution_count":21,"id":"8f377f67","metadata":{"execution":{"iopub.execute_input":"2024-05-29T05:58:01.857948Z","iopub.status.busy":"2024-05-29T05:58:01.857265Z","iopub.status.idle":"2024-05-29T05:58:01.870881Z","shell.execute_reply":"2024-05-29T05:58:01.8692Z"},"papermill":{"duration":0.044123,"end_time":"2024-05-29T05:58:01.874107","exception":false,"start_time":"2024-05-29T05:58:01.829984","status":"completed"},"tags":[]},"outputs":[],"source":["df4.to_csv('Output Data GENE Analysis/GENE_Hetro_Dimers.csv', index=False)"]},{"cell_type":"markdown","id":"918718a6","metadata":{"papermill":{"duration":0.026692,"end_time":"2024-05-29T05:58:01.930856","exception":false,"start_time":"2024-05-29T05:58:01.904164","status":"completed"},"tags":[]},"source":["# **<span style=\"color:#9f51e7;\">References </span>**\n","- [How can I check my PCR primers using the OligoAnalyzer® program to ensure there are no significant primer design issues?](https://sg.idtdna.com/pages/support/faqs/how-can-i-check-my-pcr-primers-using-the-oligoanalyzer-program-to-ensure-there-are-no-significant-primer-design-issues-)\n","\n","- [Mathematical model to reduce loop mediated isothermal amplification (LAMP) false-positive diagnosis](https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/elps.201900167?casa_token=uh1wVkHdoH8AAAAA%3AObqNtNKeoTlabgQxXSncJFoB5qsBiIT-nOm1eErxLafmVXCjfxEduo_rhhHNAOk3PD8Vicl39lSj9A)\n","\n","- [Impact  of  Primer-Dimers  and  Self-Amplifying  Hairpins  on  Reverse  Transcription  \n","Loop-Mediated Isothermal Amplification Detection of Viral RNA ](https://pubmed.ncbi.nlm.nih.gov/29620773/)\n","\n","- [Thermodynamics and kinetics guided probe design for uniformly sensitive and specific DNA hybridization without optimization](https://www.nature.com/articles/s41467-019-12593-9)\n","\n","\n"]},{"cell_type":"markdown","id":"bffd4af8","metadata":{"papermill":{"duration":0.023453,"end_time":"2024-05-29T05:58:01.980816","exception":false,"start_time":"2024-05-29T05:58:01.957363","status":"completed"},"tags":[]},"source":[" ### This Notebook is Created by [**Owais Ahmad**](https://www.linkedin.com/in/owaiskhan9654/) for SARS-CoV-2 Gene Sequence Analysis.\n"," ### This is for Medical Research Purpose only\n"," \n"," \n"," \n","- **Email owaiskhan9654@gmail.com**\n","- **Contact +919515884381**"]},{"cell_type":"markdown","id":"4e3934db","metadata":{"papermill":{"duration":0.021818,"end_time":"2024-05-29T05:58:02.026329","exception":false,"start_time":"2024-05-29T05:58:02.004511","status":"completed"},"tags":[]},"source":["<center><h1 style = \"font-size:25px;font-family: Comic Sans MS\"> Feel free to comment if you have any queries:)</h1></center>"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":30197,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 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