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DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design
Since the outbreak of SARS-CoV-2, numerous compounds against COVID-19 have been derived by computer-aided drug design (CADD) studies. They are valuable resources for the development of COVID-19 therapeutics. In this work, we reviewed these studies and analyzed 779 compounds against 16 target protein...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838031/ https://www.ncbi.nlm.nih.gov/pubmed/35163948 http://dx.doi.org/10.3390/molecules27030683 |
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author | Liu, Yang Gan, Jianhong Wang, Rongqi Yang, Xiaocong Xiao, Zhixiong Cao, Yang |
author_facet | Liu, Yang Gan, Jianhong Wang, Rongqi Yang, Xiaocong Xiao, Zhixiong Cao, Yang |
author_sort | Liu, Yang |
collection | PubMed |
description | Since the outbreak of SARS-CoV-2, numerous compounds against COVID-19 have been derived by computer-aided drug design (CADD) studies. They are valuable resources for the development of COVID-19 therapeutics. In this work, we reviewed these studies and analyzed 779 compounds against 16 target proteins from 181 CADD publications. We performed unified docking simulations and neck-to-neck comparison with the solved co-crystal structures. We computed their chemical features and classified these compounds, aiming to provide insights for subsequent drug design. Through detailed analyses, we recommended a batch of compounds that are worth further study. Moreover, we organized all the abundant data and constructed a freely available database, DrugDevCovid19, to facilitate the development of COVID-19 therapeutics. |
format | Online Article Text |
id | pubmed-8838031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88380312022-02-13 DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design Liu, Yang Gan, Jianhong Wang, Rongqi Yang, Xiaocong Xiao, Zhixiong Cao, Yang Molecules Article Since the outbreak of SARS-CoV-2, numerous compounds against COVID-19 have been derived by computer-aided drug design (CADD) studies. They are valuable resources for the development of COVID-19 therapeutics. In this work, we reviewed these studies and analyzed 779 compounds against 16 target proteins from 181 CADD publications. We performed unified docking simulations and neck-to-neck comparison with the solved co-crystal structures. We computed their chemical features and classified these compounds, aiming to provide insights for subsequent drug design. Through detailed analyses, we recommended a batch of compounds that are worth further study. Moreover, we organized all the abundant data and constructed a freely available database, DrugDevCovid19, to facilitate the development of COVID-19 therapeutics. MDPI 2022-01-21 /pmc/articles/PMC8838031/ /pubmed/35163948 http://dx.doi.org/10.3390/molecules27030683 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Yang Gan, Jianhong Wang, Rongqi Yang, Xiaocong Xiao, Zhixiong Cao, Yang DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title | DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title_full | DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title_fullStr | DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title_full_unstemmed | DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title_short | DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design |
title_sort | drugdevcovid19: an atlas of anti-covid-19 compounds derived by computer-aided drug design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838031/ https://www.ncbi.nlm.nih.gov/pubmed/35163948 http://dx.doi.org/10.3390/molecules27030683 |
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