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DrugRep: an automatic virtual screening server for drug repurposing
Computationally identifying new targets for existing drugs has drawn much attention in drug repurposing due to its advantages over de novo drugs, including low risk, low costs, and rapid pace. To facilitate the drug repurposing computation, we constructed an automated and parameter-free virtual scre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549438/ https://www.ncbi.nlm.nih.gov/pubmed/36216900 http://dx.doi.org/10.1038/s41401-022-00996-2 |
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author | Gan, Jian-hong Liu, Ji-xiang Liu, Yang Chen, Shu-wen Dai, Wen-tao Xiao, Zhi-Xiong Cao, Yang |
author_facet | Gan, Jian-hong Liu, Ji-xiang Liu, Yang Chen, Shu-wen Dai, Wen-tao Xiao, Zhi-Xiong Cao, Yang |
author_sort | Gan, Jian-hong |
collection | PubMed |
description | Computationally identifying new targets for existing drugs has drawn much attention in drug repurposing due to its advantages over de novo drugs, including low risk, low costs, and rapid pace. To facilitate the drug repurposing computation, we constructed an automated and parameter-free virtual screening server, namely DrugRep, which performed molecular 3D structure construction, binding pocket prediction, docking, similarity comparison and binding affinity screening in a fully automatic manner. DrugRep repurposed drugs not only by receptor-based screening but also by ligand-based screening. The former automatically detected possible binding pockets of the receptor with our cavity detection approach, and then performed batch docking over drugs with a widespread docking program, AutoDock Vina. The latter explored drugs using seven well-established similarity measuring tools, including our recently developed ligand-similarity-based methods LigMate and FitDock. DrugRep utilized easy-to-use graphic interfaces for the user operation, and offered interactive predictions with state-of-the-art accuracy. We expect that this freely available online drug repurposing tool could be beneficial to the drug discovery community. The web site is http://cao.labshare.cn/drugrep/. |
format | Online Article Text |
id | pubmed-9549438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-95494382022-10-11 DrugRep: an automatic virtual screening server for drug repurposing Gan, Jian-hong Liu, Ji-xiang Liu, Yang Chen, Shu-wen Dai, Wen-tao Xiao, Zhi-Xiong Cao, Yang Acta Pharmacol Sin Article Computationally identifying new targets for existing drugs has drawn much attention in drug repurposing due to its advantages over de novo drugs, including low risk, low costs, and rapid pace. To facilitate the drug repurposing computation, we constructed an automated and parameter-free virtual screening server, namely DrugRep, which performed molecular 3D structure construction, binding pocket prediction, docking, similarity comparison and binding affinity screening in a fully automatic manner. DrugRep repurposed drugs not only by receptor-based screening but also by ligand-based screening. The former automatically detected possible binding pockets of the receptor with our cavity detection approach, and then performed batch docking over drugs with a widespread docking program, AutoDock Vina. The latter explored drugs using seven well-established similarity measuring tools, including our recently developed ligand-similarity-based methods LigMate and FitDock. DrugRep utilized easy-to-use graphic interfaces for the user operation, and offered interactive predictions with state-of-the-art accuracy. We expect that this freely available online drug repurposing tool could be beneficial to the drug discovery community. The web site is http://cao.labshare.cn/drugrep/. Springer Nature Singapore 2022-10-10 2023-04 /pmc/articles/PMC9549438/ /pubmed/36216900 http://dx.doi.org/10.1038/s41401-022-00996-2 Text en © The Author(s), under exclusive licence to Shanghai Institute of Materia Medica, Chinese Academy of Sciences and Chinese Pharmacological Society 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
spellingShingle | Article Gan, Jian-hong Liu, Ji-xiang Liu, Yang Chen, Shu-wen Dai, Wen-tao Xiao, Zhi-Xiong Cao, Yang DrugRep: an automatic virtual screening server for drug repurposing |
title | DrugRep: an automatic virtual screening server for drug repurposing |
title_full | DrugRep: an automatic virtual screening server for drug repurposing |
title_fullStr | DrugRep: an automatic virtual screening server for drug repurposing |
title_full_unstemmed | DrugRep: an automatic virtual screening server for drug repurposing |
title_short | DrugRep: an automatic virtual screening server for drug repurposing |
title_sort | drugrep: an automatic virtual screening server for drug repurposing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549438/ https://www.ncbi.nlm.nih.gov/pubmed/36216900 http://dx.doi.org/10.1038/s41401-022-00996-2 |
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