Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach
Among the most prevalent forms of cancer are breast, lung, colon-rectum, and prostate cancers, and breast cancer is a major global health challenge, contributing to 2.26 million cases with approximately 685,000 deaths worldwide in 2020 alone, typically beginning in the milk ducts or lobules that pro...
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creator | Alsaiari, Ahad Amer Gharib, Amal F. Bakhuraysah, Maha Mahfouz Alrehaili, Amani A. Algethami, Shatha M. Alsaif, Hayfa Ali Al Harthi, Norah Hakami, Mohammed Ageeli |
description | Among the most prevalent forms of cancer are breast, lung, colon-rectum, and prostate cancers, and breast cancer is a major global health challenge, contributing to 2.26 million cases with approximately 685,000 deaths worldwide in 2020 alone, typically beginning in the milk ducts or lobules that produce and transport milk during lactation and it is becoming challenging to treat as the tissues are developing resistance, which makes urgent calls for new multitargeted drugs. The multitargeted drug design provides a better solution, simultaneously targeting multiple pathways, even when the drug resists one, it remains effective for others. In this study, we included four crucial proteins that perform signalling, receptor, and regulatory action, namely- NUDIX Hydrolases, Dihydrofolate Reductase, HER2/neu Kinase and EGFR and performed multitargeted molecular docking studies against human-approved drugs using HTVS, SP and extra precise algorithms and filtered the poses with MM\GBSA, suggested a benzodiazepine derivative chlordiazepoxide, used as an anxiolytic agent, can be a multitargeted inhibitor with docking and MM\GBSA score ranging from − 4.628 to − 7.877 and − 18.59 to − 135.86 kcal/mol, respectively, and the most interacted residues were 6ARG, 6GLU, 3TRP, and 3VAL. The QikProp-based ADMET and DFT computations showed the suitability and stability of the drug candidate followed by 100 ns MD simulation in water and MMGBSA on trajectories, resulting in stable performance and many intermolecular interactions to make the complexes stable, which favours that chlordiazepoxide can be a multitargeted breast cancer inhibitor. However, experimental validation is needed before its use. |
doi_str_mv | 10.1007/s12032-024-02366-w |
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The multitargeted drug design provides a better solution, simultaneously targeting multiple pathways, even when the drug resists one, it remains effective for others. In this study, we included four crucial proteins that perform signalling, receptor, and regulatory action, namely- NUDIX Hydrolases, Dihydrofolate Reductase, HER2/neu Kinase and EGFR and performed multitargeted molecular docking studies against human-approved drugs using HTVS, SP and extra precise algorithms and filtered the poses with MM\GBSA, suggested a benzodiazepine derivative chlordiazepoxide, used as an anxiolytic agent, can be a multitargeted inhibitor with docking and MM\GBSA score ranging from − 4.628 to − 7.877 and − 18.59 to − 135.86 kcal/mol, respectively, and the most interacted residues were 6ARG, 6GLU, 3TRP, and 3VAL. 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However, experimental validation is needed before its use.</description><subject>Benzodiazepines</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Chlordiazepoxide</subject><subject>Dihydrofolate reductase</subject><subject>Female</subject><subject>Hematology</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Kinases</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molecular Docking Simulation</subject><subject>Oncology</subject><subject>Original Paper</subject><subject>Pathology</subject><subject>Signal Transduction</subject><subject>Transcription Factors</subject><issn>1559-131X</issn><issn>1357-0560</issn><issn>1559-131X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtr3TAQhUVpaR7tH8giCLrpIm4ljeVrZ1cuTVIIdNNCd2Ikjx0FX8uRbNKE_vgqcfqgiy7EaJjvnIE5jB1J8U4KsXmfpBKgCqHK_KCqittnbF9q3RQS5Lfnf_332EFK10IoqVXzku1BXUGW6n32Y3s1hNh6vKcpfPctcezRj2nmyfcjDoMf-xMeydE0h8hxbHPTLwPm7o5PMcyUaR46biNhljkcHcVTjjzNcXHzEqmwmKjlfiySH7wLHKcsRHf1ir3ocEj0-qkesq9nH79sL4rLz-efth8uCwcbPRfats6WVlRVZ6UD0WgHCmtZyrqs7aaGrnXYUkm6oVJYq21VSQuNVs4pjSUcsrerb157s1Cazc4nR8OAI4UlGRClAIBq84C--Qe9DkvMh1gpCY16pNRKuRhSitSZKfodxjsjhXnIxqzZmJyNeczG3GbR8ZP1YnfU_pb8CiMDsAIpj8ae4p_d_7H9CYNSnJI</recordid><startdate>20240417</startdate><enddate>20240417</enddate><creator>Alsaiari, Ahad Amer</creator><creator>Gharib, Amal F.</creator><creator>Bakhuraysah, Maha Mahfouz</creator><creator>Alrehaili, Amani A.</creator><creator>Algethami, Shatha M.</creator><creator>Alsaif, Hayfa Ali</creator><creator>Al Harthi, Norah</creator><creator>Hakami, Mohammed Ageeli</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9727-650X</orcidid><orcidid>https://orcid.org/0009-0001-6153-6920</orcidid><orcidid>https://orcid.org/0000-0003-4117-5811</orcidid><orcidid>https://orcid.org/0000-0002-5691-9118</orcidid><orcidid>https://orcid.org/0000-0002-1747-1277</orcidid><orcidid>https://orcid.org/0009-0001-5987-7611</orcidid><orcidid>https://orcid.org/0009-0008-0553-2977</orcidid><orcidid>https://orcid.org/0000-0001-8008-3368</orcidid></search><sort><creationdate>20240417</creationdate><title>Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach</title><author>Alsaiari, Ahad Amer ; Gharib, Amal F. ; Bakhuraysah, Maha Mahfouz ; Alrehaili, Amani A. ; Algethami, Shatha M. ; Alsaif, Hayfa Ali ; Al Harthi, Norah ; Hakami, Mohammed Ageeli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-5bdcb4b066fb1c3095c32a8141848b783fdcade4e59e40bb5b661b3952cc25a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Benzodiazepines</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Chlordiazepoxide</topic><topic>Dihydrofolate reductase</topic><topic>Female</topic><topic>Hematology</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Kinases</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Molecular Docking Simulation</topic><topic>Oncology</topic><topic>Original Paper</topic><topic>Pathology</topic><topic>Signal Transduction</topic><topic>Transcription Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alsaiari, Ahad Amer</creatorcontrib><creatorcontrib>Gharib, Amal F.</creatorcontrib><creatorcontrib>Bakhuraysah, Maha Mahfouz</creatorcontrib><creatorcontrib>Alrehaili, Amani A.</creatorcontrib><creatorcontrib>Algethami, Shatha M.</creatorcontrib><creatorcontrib>Alsaif, Hayfa Ali</creatorcontrib><creatorcontrib>Al Harthi, Norah</creatorcontrib><creatorcontrib>Hakami, Mohammed Ageeli</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Medical oncology (Northwood, London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alsaiari, Ahad Amer</au><au>Gharib, Amal F.</au><au>Bakhuraysah, Maha Mahfouz</au><au>Alrehaili, Amani A.</au><au>Algethami, Shatha M.</au><au>Alsaif, Hayfa Ali</au><au>Al Harthi, Norah</au><au>Hakami, Mohammed Ageeli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach</atitle><jtitle>Medical oncology (Northwood, London, England)</jtitle><stitle>Med Oncol</stitle><addtitle>Med Oncol</addtitle><date>2024-04-17</date><risdate>2024</risdate><volume>41</volume><issue>5</issue><spage>117</spage><epage>117</epage><pages>117-117</pages><artnum>117</artnum><issn>1559-131X</issn><issn>1357-0560</issn><eissn>1559-131X</eissn><abstract>Among the most prevalent forms of cancer are breast, lung, colon-rectum, and prostate cancers, and breast cancer is a major global health challenge, contributing to 2.26 million cases with approximately 685,000 deaths worldwide in 2020 alone, typically beginning in the milk ducts or lobules that produce and transport milk during lactation and it is becoming challenging to treat as the tissues are developing resistance, which makes urgent calls for new multitargeted drugs. The multitargeted drug design provides a better solution, simultaneously targeting multiple pathways, even when the drug resists one, it remains effective for others. In this study, we included four crucial proteins that perform signalling, receptor, and regulatory action, namely- NUDIX Hydrolases, Dihydrofolate Reductase, HER2/neu Kinase and EGFR and performed multitargeted molecular docking studies against human-approved drugs using HTVS, SP and extra precise algorithms and filtered the poses with MM\GBSA, suggested a benzodiazepine derivative chlordiazepoxide, used as an anxiolytic agent, can be a multitargeted inhibitor with docking and MM\GBSA score ranging from − 4.628 to − 7.877 and − 18.59 to − 135.86 kcal/mol, respectively, and the most interacted residues were 6ARG, 6GLU, 3TRP, and 3VAL. The QikProp-based ADMET and DFT computations showed the suitability and stability of the drug candidate followed by 100 ns MD simulation in water and MMGBSA on trajectories, resulting in stable performance and many intermolecular interactions to make the complexes stable, which favours that chlordiazepoxide can be a multitargeted breast cancer inhibitor. 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subjects | Benzodiazepines Breast cancer Breast Neoplasms - drug therapy Chlordiazepoxide Dihydrofolate reductase Female Hematology Humans Internal Medicine Kinases Male Medicine Medicine & Public Health Molecular Docking Simulation Oncology Original Paper Pathology Signal Transduction Transcription Factors |
title | Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach |
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