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Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis
We selected fifty one drugs already known for their potential disease treatment roles in various studies and subjected to docking and molecular docking simulation (MDS) analyses. Five of them showed promising features that are discussed and suggested as potential candidates for repurposing for COVID...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560309/ https://www.ncbi.nlm.nih.gov/pubmed/37814677 http://dx.doi.org/10.6026/97320630019149 |
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author | Bhanu1, Piyush Setlur, Anagha S K, Chandrashekar Niranjan, Vidya Hemandhar Kumar, Nisha Buchke, Sakshi Kumar, Jitendra Rani, Anita Tiwari, Sushil M Mishra, Vachaspati |
author_facet | Bhanu1, Piyush Setlur, Anagha S K, Chandrashekar Niranjan, Vidya Hemandhar Kumar, Nisha Buchke, Sakshi Kumar, Jitendra Rani, Anita Tiwari, Sushil M Mishra, Vachaspati |
author_sort | Bhanu1, Piyush |
collection | PubMed |
description | We selected fifty one drugs already known for their potential disease treatment roles in various studies and subjected to docking and molecular docking simulation (MDS) analyses. Five of them showed promising features that are discussed and suggested as potential candidates for repurposing for COVID-19. These top five compounds were boswellic acid, pimecrolimus, GYY-4137, BMS-345541 and triamcinolone hexacetonide that interacted with the chosen receptors 1R42, 4G3D, 6VW1, 6VXX and 7MEQ, respectively with binding energies of -9.2 kcal/mol, -9.1 kcal/mol, -10.3 kcal/mol, -10.1 kcal/mol and -8.7 kcal/mol, respectively. The MDS studies for the top 5 best complexes revealed binding features for the chosen receptor, human NF-kappa B transcription factor as an important drug target in COVID-19-based drug development strategies. |
format | Online Article Text |
id | pubmed-10560309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-105603092023-10-09 Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis Bhanu1, Piyush Setlur, Anagha S K, Chandrashekar Niranjan, Vidya Hemandhar Kumar, Nisha Buchke, Sakshi Kumar, Jitendra Rani, Anita Tiwari, Sushil M Mishra, Vachaspati Bioinformation Research Article We selected fifty one drugs already known for their potential disease treatment roles in various studies and subjected to docking and molecular docking simulation (MDS) analyses. Five of them showed promising features that are discussed and suggested as potential candidates for repurposing for COVID-19. These top five compounds were boswellic acid, pimecrolimus, GYY-4137, BMS-345541 and triamcinolone hexacetonide that interacted with the chosen receptors 1R42, 4G3D, 6VW1, 6VXX and 7MEQ, respectively with binding energies of -9.2 kcal/mol, -9.1 kcal/mol, -10.3 kcal/mol, -10.1 kcal/mol and -8.7 kcal/mol, respectively. The MDS studies for the top 5 best complexes revealed binding features for the chosen receptor, human NF-kappa B transcription factor as an important drug target in COVID-19-based drug development strategies. Biomedical Informatics 2023-02-28 /pmc/articles/PMC10560309/ /pubmed/37814677 http://dx.doi.org/10.6026/97320630019149 Text en © 2023 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Article Bhanu1, Piyush Setlur, Anagha S K, Chandrashekar Niranjan, Vidya Hemandhar Kumar, Nisha Buchke, Sakshi Kumar, Jitendra Rani, Anita Tiwari, Sushil M Mishra, Vachaspati Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title | Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title_full | Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title_fullStr | Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title_full_unstemmed | Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title_short | Repurposing of known drugs for COVID-19 using molecular docking and simulation analysis |
title_sort | repurposing of known drugs for covid-19 using molecular docking and simulation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560309/ https://www.ncbi.nlm.nih.gov/pubmed/37814677 http://dx.doi.org/10.6026/97320630019149 |
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