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Applications of density functional theory in COVID-19 drug modeling
The rapidly evolving Coronavirus 2019 (COVID-19) pandemic has led to millions of deaths around the world, highlighting the pressing need to develop effective antiviral pharmaceuticals. Recent efforts with computer-aided rational drug discovery have allowed detailed examination of drug–macromolecule...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695517/ https://www.ncbi.nlm.nih.gov/pubmed/34954327 http://dx.doi.org/10.1016/j.drudis.2021.12.017 |
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author | Ye, Naike Yang, Zekai Liu, Yuchen |
author_facet | Ye, Naike Yang, Zekai Liu, Yuchen |
author_sort | Ye, Naike |
collection | PubMed |
description | The rapidly evolving Coronavirus 2019 (COVID-19) pandemic has led to millions of deaths around the world, highlighting the pressing need to develop effective antiviral pharmaceuticals. Recent efforts with computer-aided rational drug discovery have allowed detailed examination of drug–macromolecule interactions primarily by molecular mechanics (MM) techniques. Less widely applied in COVID-19 drug modeling is density functional theory (DFT), a quantum mechanics (QM) method that enables electronic structure calculations and elucidations of reaction mechanisms. Here, we review recent advances in applying DFT in molecular modeling studies of COVID-19 pharmaceuticals. We start by providing an overview of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) drugs and targets, followed by a brief introduction to DFT. We then provide a discussion of different approaches by which DFT has been applied. Finally, we discuss essential factors to consider when incorporating DFT in future drug modeling research. |
format | Online Article Text |
id | pubmed-8695517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86955172021-12-23 Applications of density functional theory in COVID-19 drug modeling Ye, Naike Yang, Zekai Liu, Yuchen Drug Discov Today Informatics (Orange) The rapidly evolving Coronavirus 2019 (COVID-19) pandemic has led to millions of deaths around the world, highlighting the pressing need to develop effective antiviral pharmaceuticals. Recent efforts with computer-aided rational drug discovery have allowed detailed examination of drug–macromolecule interactions primarily by molecular mechanics (MM) techniques. Less widely applied in COVID-19 drug modeling is density functional theory (DFT), a quantum mechanics (QM) method that enables electronic structure calculations and elucidations of reaction mechanisms. Here, we review recent advances in applying DFT in molecular modeling studies of COVID-19 pharmaceuticals. We start by providing an overview of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) drugs and targets, followed by a brief introduction to DFT. We then provide a discussion of different approaches by which DFT has been applied. Finally, we discuss essential factors to consider when incorporating DFT in future drug modeling research. Elsevier Ltd. 2022-05 2021-12-23 /pmc/articles/PMC8695517/ /pubmed/34954327 http://dx.doi.org/10.1016/j.drudis.2021.12.017 Text en © 2021 Elsevier Ltd. 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 | Informatics (Orange) Ye, Naike Yang, Zekai Liu, Yuchen Applications of density functional theory in COVID-19 drug modeling |
title | Applications of density functional theory in COVID-19 drug modeling |
title_full | Applications of density functional theory in COVID-19 drug modeling |
title_fullStr | Applications of density functional theory in COVID-19 drug modeling |
title_full_unstemmed | Applications of density functional theory in COVID-19 drug modeling |
title_short | Applications of density functional theory in COVID-19 drug modeling |
title_sort | applications of density functional theory in covid-19 drug modeling |
topic | Informatics (Orange) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695517/ https://www.ncbi.nlm.nih.gov/pubmed/34954327 http://dx.doi.org/10.1016/j.drudis.2021.12.017 |
work_keys_str_mv | AT yenaike applicationsofdensityfunctionaltheoryincovid19drugmodeling AT yangzekai applicationsofdensityfunctionaltheoryincovid19drugmodeling AT liuyuchen applicationsofdensityfunctionaltheoryincovid19drugmodeling |