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HProteome-BSite: predicted binding sites and ligands in human 3D proteome
Atomic-level knowledge of protein-ligand interactions allows a detailed understanding of protein functions and provides critical clues to discovering molecules regulating the functions. While recent innovative deep learning methods for protein structure prediction dramatically increased the structur...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825455/ https://www.ncbi.nlm.nih.gov/pubmed/36243970 http://dx.doi.org/10.1093/nar/gkac873 |
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author | Sim, Jiho Kwon, Sohee Seok, Chaok |
author_facet | Sim, Jiho Kwon, Sohee Seok, Chaok |
author_sort | Sim, Jiho |
collection | PubMed |
description | Atomic-level knowledge of protein-ligand interactions allows a detailed understanding of protein functions and provides critical clues to discovering molecules regulating the functions. While recent innovative deep learning methods for protein structure prediction dramatically increased the structural coverage of the human proteome, molecular interactions remain largely unknown. A new database, HProteome-BSite, provides predictions of binding sites and ligands in the enlarged 3D human proteome. The model structures for human proteins from the AlphaFold Protein Structure Database were processed to structural domains of high confidence to maximize the coverage and reliability of interaction prediction. For ligand binding site prediction, an updated version of a template-based method GalaxySite was used. A high-level performance of the updated GalaxySite was confirmed. HProteome-BSite covers 80.74% of the UniProt entries in the AlphaFold human 3D proteome. Predicted binding sites and binding poses of potential ligands are provided for effective applications to further functional studies and drug discovery. The HProteome-BSite database is available at https://galaxy.seoklab.org/hproteome-bsite/database and is free and open to all users. |
format | Online Article Text |
id | pubmed-9825455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254552023-01-10 HProteome-BSite: predicted binding sites and ligands in human 3D proteome Sim, Jiho Kwon, Sohee Seok, Chaok Nucleic Acids Res Database Issue Atomic-level knowledge of protein-ligand interactions allows a detailed understanding of protein functions and provides critical clues to discovering molecules regulating the functions. While recent innovative deep learning methods for protein structure prediction dramatically increased the structural coverage of the human proteome, molecular interactions remain largely unknown. A new database, HProteome-BSite, provides predictions of binding sites and ligands in the enlarged 3D human proteome. The model structures for human proteins from the AlphaFold Protein Structure Database were processed to structural domains of high confidence to maximize the coverage and reliability of interaction prediction. For ligand binding site prediction, an updated version of a template-based method GalaxySite was used. A high-level performance of the updated GalaxySite was confirmed. HProteome-BSite covers 80.74% of the UniProt entries in the AlphaFold human 3D proteome. Predicted binding sites and binding poses of potential ligands are provided for effective applications to further functional studies and drug discovery. The HProteome-BSite database is available at https://galaxy.seoklab.org/hproteome-bsite/database and is free and open to all users. Oxford University Press 2022-10-16 /pmc/articles/PMC9825455/ /pubmed/36243970 http://dx.doi.org/10.1093/nar/gkac873 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 | Database Issue Sim, Jiho Kwon, Sohee Seok, Chaok HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title | HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title_full | HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title_fullStr | HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title_full_unstemmed | HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title_short | HProteome-BSite: predicted binding sites and ligands in human 3D proteome |
title_sort | hproteome-bsite: predicted binding sites and ligands in human 3d proteome |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825455/ https://www.ncbi.nlm.nih.gov/pubmed/36243970 http://dx.doi.org/10.1093/nar/gkac873 |
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