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Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2
The world is witnessing the impact of deadly disease outbreaks in the form of the novel severe acute respiratory syndrome (SARS) like Coronavirus disease-2019 (COVID-19) pandemic. Since the beginning of the 21(st) century, we have witnessed several other disease outbreaks (e.g., SARS, H1N1, Zika vir...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300476/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00007-8 |
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author | Subhaswaraj, Pattnaik Siddhardha, Busi |
author_facet | Subhaswaraj, Pattnaik Siddhardha, Busi |
author_sort | Subhaswaraj, Pattnaik |
collection | PubMed |
description | The world is witnessing the impact of deadly disease outbreaks in the form of the novel severe acute respiratory syndrome (SARS) like Coronavirus disease-2019 (COVID-19) pandemic. Since the beginning of the 21(st) century, we have witnessed several other disease outbreaks (e.g., SARS, H1N1, Zika virus disease, and Ebola virus epidemics), which have significantly affected our healthcare systems and socioeconomic profile. To fight against these disease outbreaks, the research and development (R&D) sectors are continuously working to develop putative therapeutic modules across the globe. In this context, computational tools further corroborated the drug design and development process. The in silico approaches particularly molecular docking and molecular dynamics simulation received considerable attention in identifying putative drug candidates and thus critically revolutionized the drug development pipelines. As compared to classical pharmacology-based approaches, the reverse pharmacology-based approaches in combination with high throughput computational tools (computer-aided drug designing, quantitative structure–activity relationship studies) have transformed the drug screening timeline thereby minimizing the manpower, cost, and drug development process by 50%–60%. The concept of drug repurposing, that is, utilizing old and clinically-approved drug molecules become a household proposition in R&D sectors by minimizing the drug development cost and timelines. In this review, we emphasized the role of computational-based approaches particularly molecular docking and simulations in designing novel drug candidates to mitigate potential health hazards associated with SARS-CoV-2. Apart from this, we have also emphasized the translational research pipelines being developed to translate the in silico data into the market for human consumption. |
format | Online Article Text |
id | pubmed-9300476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93004762022-07-21 Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 Subhaswaraj, Pattnaik Siddhardha, Busi Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection Article The world is witnessing the impact of deadly disease outbreaks in the form of the novel severe acute respiratory syndrome (SARS) like Coronavirus disease-2019 (COVID-19) pandemic. Since the beginning of the 21(st) century, we have witnessed several other disease outbreaks (e.g., SARS, H1N1, Zika virus disease, and Ebola virus epidemics), which have significantly affected our healthcare systems and socioeconomic profile. To fight against these disease outbreaks, the research and development (R&D) sectors are continuously working to develop putative therapeutic modules across the globe. In this context, computational tools further corroborated the drug design and development process. The in silico approaches particularly molecular docking and molecular dynamics simulation received considerable attention in identifying putative drug candidates and thus critically revolutionized the drug development pipelines. As compared to classical pharmacology-based approaches, the reverse pharmacology-based approaches in combination with high throughput computational tools (computer-aided drug designing, quantitative structure–activity relationship studies) have transformed the drug screening timeline thereby minimizing the manpower, cost, and drug development process by 50%–60%. The concept of drug repurposing, that is, utilizing old and clinically-approved drug molecules become a household proposition in R&D sectors by minimizing the drug development cost and timelines. In this review, we emphasized the role of computational-based approaches particularly molecular docking and simulations in designing novel drug candidates to mitigate potential health hazards associated with SARS-CoV-2. Apart from this, we have also emphasized the translational research pipelines being developed to translate the in silico data into the market for human consumption. 2022 2022-07-15 /pmc/articles/PMC9300476/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00007-8 Text en Copyright © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Subhaswaraj, Pattnaik Siddhardha, Busi Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title | Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title_full | Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title_fullStr | Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title_full_unstemmed | Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title_short | Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2 |
title_sort | molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-coronavirus-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300476/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00007-8 |
work_keys_str_mv | AT subhaswarajpattnaik moleculardockingandmoleculardynamicsimulationapproachesfordrugdevelopmentandrepurposingofdrugsforsevereacuterespiratorysyndromecoronavirus2 AT siddhardhabusi moleculardockingandmoleculardynamicsimulationapproachesfordrugdevelopmentandrepurposingofdrugsforsevereacuterespiratorysyndromecoronavirus2 |