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SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a rapidly growing infectious disease, widely spread with high mortality rates. Since the release of the SARS-CoV-2 genome sequence in March 2020, there has been an international focus on developing target-based drug discovery, which...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929435/ https://www.ncbi.nlm.nih.gov/pubmed/33416848 http://dx.doi.org/10.1093/bib/bbaa404 |
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author | Alsulami, Ali F Thomas, Sherine E Jamasb, Arian R Beaudoin, Christopher A Moghul, Ismail Bannerman, Bridget Copoiu, Liviu Vedithi, Sundeep Chaitanya Torres, Pedro Blundell, Tom L |
author_facet | Alsulami, Ali F Thomas, Sherine E Jamasb, Arian R Beaudoin, Christopher A Moghul, Ismail Bannerman, Bridget Copoiu, Liviu Vedithi, Sundeep Chaitanya Torres, Pedro Blundell, Tom L |
author_sort | Alsulami, Ali F |
collection | PubMed |
description | The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a rapidly growing infectious disease, widely spread with high mortality rates. Since the release of the SARS-CoV-2 genome sequence in March 2020, there has been an international focus on developing target-based drug discovery, which also requires knowledge of the 3D structure of the proteome. Where there are no experimentally solved structures, our group has created 3D models with coverage of 97.5% and characterized them using state-of-the-art computational approaches. Models of protomers and oligomers, together with predictions of substrate and allosteric binding sites, protein-ligand docking, SARS-CoV-2 protein interactions with human proteins, impacts of mutations, and mapped solved experimental structures are freely available for download. These are implemented in SARS CoV-2 3D, a comprehensive and user-friendly database, available at https://sars3d.com/. This provides essential information for drug discovery, both to evaluate targets and design new potential therapeutics. |
format | Online Article Text |
id | pubmed-7929435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79294352021-03-04 SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets Alsulami, Ali F Thomas, Sherine E Jamasb, Arian R Beaudoin, Christopher A Moghul, Ismail Bannerman, Bridget Copoiu, Liviu Vedithi, Sundeep Chaitanya Torres, Pedro Blundell, Tom L Brief Bioinform Problem Solving Protocol The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a rapidly growing infectious disease, widely spread with high mortality rates. Since the release of the SARS-CoV-2 genome sequence in March 2020, there has been an international focus on developing target-based drug discovery, which also requires knowledge of the 3D structure of the proteome. Where there are no experimentally solved structures, our group has created 3D models with coverage of 97.5% and characterized them using state-of-the-art computational approaches. Models of protomers and oligomers, together with predictions of substrate and allosteric binding sites, protein-ligand docking, SARS-CoV-2 protein interactions with human proteins, impacts of mutations, and mapped solved experimental structures are freely available for download. These are implemented in SARS CoV-2 3D, a comprehensive and user-friendly database, available at https://sars3d.com/. This provides essential information for drug discovery, both to evaluate targets and design new potential therapeutics. Oxford University Press 2021-01-08 /pmc/articles/PMC7929435/ /pubmed/33416848 http://dx.doi.org/10.1093/bib/bbaa404 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Problem Solving Protocol Alsulami, Ali F Thomas, Sherine E Jamasb, Arian R Beaudoin, Christopher A Moghul, Ismail Bannerman, Bridget Copoiu, Liviu Vedithi, Sundeep Chaitanya Torres, Pedro Blundell, Tom L SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title | SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title_full | SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title_fullStr | SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title_full_unstemmed | SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title_short | SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets |
title_sort | sars-cov-2 3d database: understanding the coronavirus proteome and evaluating possible drug targets |
topic | Problem Solving Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929435/ https://www.ncbi.nlm.nih.gov/pubmed/33416848 http://dx.doi.org/10.1093/bib/bbaa404 |
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