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CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction

CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a given protein structure and rank them based on liganda...

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Autores principales: Xu, Youjun, Wang, Shiwei, Hu, Qiwan, Gao, Shuaishi, Ma, Xiaomin, Zhang, Weilin, Shen, Yihang, Chen, Fangjin, Lai, Luhua, Pei, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031032/
https://www.ncbi.nlm.nih.gov/pubmed/29750256
http://dx.doi.org/10.1093/nar/gky380
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author Xu, Youjun
Wang, Shiwei
Hu, Qiwan
Gao, Shuaishi
Ma, Xiaomin
Zhang, Weilin
Shen, Yihang
Chen, Fangjin
Lai, Luhua
Pei, Jianfeng
author_facet Xu, Youjun
Wang, Shiwei
Hu, Qiwan
Gao, Shuaishi
Ma, Xiaomin
Zhang, Weilin
Shen, Yihang
Chen, Fangjin
Lai, Luhua
Pei, Jianfeng
author_sort Xu, Youjun
collection PubMed
description CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a given protein structure and rank them based on ligandability and druggability scores. These potential binding sites can be further analysed using three submodules, CavPharmer, CorrSite, and CovCys. CavPharmer uses a receptor-based pharmacophore modelling program, Pocket, to automatically extract pharmacophore features within cavities. CorrSite identifies potential allosteric ligand-binding sites based on motion correlation analyses between cavities. CovCys automatically detects druggable cysteine residues, which is especially useful to identify novel binding sites for designing covalent allosteric ligands. Overall, CavityPlus provides an integrated platform for analysing comprehensive properties of protein binding cavities. Such analyses are useful for many aspects of drug design and discovery, including target selection and identification, virtual screening, de novo drug design, and allosteric and covalent-binding drug design. The CavityPlus web server is freely available at http://repharma.pku.edu.cn/cavityplus or http://www.pkumdl.cn/cavityplus.
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spelling pubmed-60310322018-07-10 CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction Xu, Youjun Wang, Shiwei Hu, Qiwan Gao, Shuaishi Ma, Xiaomin Zhang, Weilin Shen, Yihang Chen, Fangjin Lai, Luhua Pei, Jianfeng Nucleic Acids Res Web Server Issue CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a given protein structure and rank them based on ligandability and druggability scores. These potential binding sites can be further analysed using three submodules, CavPharmer, CorrSite, and CovCys. CavPharmer uses a receptor-based pharmacophore modelling program, Pocket, to automatically extract pharmacophore features within cavities. CorrSite identifies potential allosteric ligand-binding sites based on motion correlation analyses between cavities. CovCys automatically detects druggable cysteine residues, which is especially useful to identify novel binding sites for designing covalent allosteric ligands. Overall, CavityPlus provides an integrated platform for analysing comprehensive properties of protein binding cavities. Such analyses are useful for many aspects of drug design and discovery, including target selection and identification, virtual screening, de novo drug design, and allosteric and covalent-binding drug design. The CavityPlus web server is freely available at http://repharma.pku.edu.cn/cavityplus or http://www.pkumdl.cn/cavityplus. Oxford University Press 2018-07-02 2018-05-10 /pmc/articles/PMC6031032/ /pubmed/29750256 http://dx.doi.org/10.1093/nar/gky380 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Xu, Youjun
Wang, Shiwei
Hu, Qiwan
Gao, Shuaishi
Ma, Xiaomin
Zhang, Weilin
Shen, Yihang
Chen, Fangjin
Lai, Luhua
Pei, Jianfeng
CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title_full CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title_fullStr CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title_full_unstemmed CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title_short CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
title_sort cavityplus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031032/
https://www.ncbi.nlm.nih.gov/pubmed/29750256
http://dx.doi.org/10.1093/nar/gky380
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