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CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome
Location and properties of ligand binding sites provide important information to uncover protein functions and to direct structure-based drug design approaches. However, as binding site detection depends on the three-dimensional (3D) structural data of proteins, functional analysis based on 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/PMC9312471/ https://www.ncbi.nlm.nih.gov/pubmed/35883523 http://dx.doi.org/10.3390/biom12070967 |
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author | Wang, Shiwei Lin, Haoyu Huang, Zhixian He, Yufeng Deng, Xiaobing Xu, Youjun Pei, Jianfeng Lai, Luhua |
author_facet | Wang, Shiwei Lin, Haoyu Huang, Zhixian He, Yufeng Deng, Xiaobing Xu, Youjun Pei, Jianfeng Lai, Luhua |
author_sort | Wang, Shiwei |
collection | PubMed |
description | Location and properties of ligand binding sites provide important information to uncover protein functions and to direct structure-based drug design approaches. However, as binding site detection depends on the three-dimensional (3D) structural data of proteins, functional analysis based on protein ligand binding sites is formidable for proteins without structural information. Recent developments in protein structure prediction and the 3D structures built by AlphaFold provide an unprecedented opportunity for analyzing ligand binding sites in human proteins. Here, we constructed the CavitySpace database, the first pocket library for all the proteins in the human proteome, using a widely-applied ligand binding site detection program CAVITY. Our analysis showed that known ligand binding sites could be well recovered. We grouped the predicted binding sites according to their similarity which can be used in protein function prediction and drug repurposing studies. Novel binding sites in highly reliable predicted structure regions provide new opportunities for drug discovery. Our CavitySpace is freely available and provides a valuable tool for drug discovery and protein function studies. |
format | Online Article Text |
id | pubmed-9312471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93124712022-07-26 CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome Wang, Shiwei Lin, Haoyu Huang, Zhixian He, Yufeng Deng, Xiaobing Xu, Youjun Pei, Jianfeng Lai, Luhua Biomolecules Article Location and properties of ligand binding sites provide important information to uncover protein functions and to direct structure-based drug design approaches. However, as binding site detection depends on the three-dimensional (3D) structural data of proteins, functional analysis based on protein ligand binding sites is formidable for proteins without structural information. Recent developments in protein structure prediction and the 3D structures built by AlphaFold provide an unprecedented opportunity for analyzing ligand binding sites in human proteins. Here, we constructed the CavitySpace database, the first pocket library for all the proteins in the human proteome, using a widely-applied ligand binding site detection program CAVITY. Our analysis showed that known ligand binding sites could be well recovered. We grouped the predicted binding sites according to their similarity which can be used in protein function prediction and drug repurposing studies. Novel binding sites in highly reliable predicted structure regions provide new opportunities for drug discovery. Our CavitySpace is freely available and provides a valuable tool for drug discovery and protein function studies. MDPI 2022-07-11 /pmc/articles/PMC9312471/ /pubmed/35883523 http://dx.doi.org/10.3390/biom12070967 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 Wang, Shiwei Lin, Haoyu Huang, Zhixian He, Yufeng Deng, Xiaobing Xu, Youjun Pei, Jianfeng Lai, Luhua CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title | CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title_full | CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title_fullStr | CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title_full_unstemmed | CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title_short | CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome |
title_sort | cavityspace: a database of potential ligand binding sites in the human proteome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312471/ https://www.ncbi.nlm.nih.gov/pubmed/35883523 http://dx.doi.org/10.3390/biom12070967 |
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