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GalaxySite: ligand-binding-site prediction by using molecular docking
Knowledge of ligand-binding sites of proteins provides invaluable information for functional studies, drug design and protein design. Recent progress in ligand-binding-site prediction methods has demonstrated that using information from similar proteins of known structures can improve predictions. T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086128/ https://www.ncbi.nlm.nih.gov/pubmed/24753427 http://dx.doi.org/10.1093/nar/gku321 |
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author | Heo, Lim Shin, Woong-Hee Lee, Myeong Sup Seok, Chaok |
author_facet | Heo, Lim Shin, Woong-Hee Lee, Myeong Sup Seok, Chaok |
author_sort | Heo, Lim |
collection | PubMed |
description | Knowledge of ligand-binding sites of proteins provides invaluable information for functional studies, drug design and protein design. Recent progress in ligand-binding-site prediction methods has demonstrated that using information from similar proteins of known structures can improve predictions. The GalaxySite web server, freely accessible at http://galaxy.seoklab.org/site, combines such information with molecular docking for more precise binding-site prediction for non-metal ligands. According to the recent critical assessments of structure prediction methods held in 2010 and 2012, this server was found to be superior or comparable to other state-of-the-art programs in the category of ligand-binding-site prediction. A strong merit of the GalaxySite program is that it provides additional predictions on binding ligands and their binding poses in terms of the optimized 3D coordinates of the protein–ligand complexes, whereas other methods predict only identities of binding-site residues or copy binding geometry from similar proteins. The additional information on the specific binding geometry would be very useful for applications in functional studies and computer-aided drug discovery. |
format | Online Article Text |
id | pubmed-4086128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40861282014-12-02 GalaxySite: ligand-binding-site prediction by using molecular docking Heo, Lim Shin, Woong-Hee Lee, Myeong Sup Seok, Chaok Nucleic Acids Res Article Knowledge of ligand-binding sites of proteins provides invaluable information for functional studies, drug design and protein design. Recent progress in ligand-binding-site prediction methods has demonstrated that using information from similar proteins of known structures can improve predictions. The GalaxySite web server, freely accessible at http://galaxy.seoklab.org/site, combines such information with molecular docking for more precise binding-site prediction for non-metal ligands. According to the recent critical assessments of structure prediction methods held in 2010 and 2012, this server was found to be superior or comparable to other state-of-the-art programs in the category of ligand-binding-site prediction. A strong merit of the GalaxySite program is that it provides additional predictions on binding ligands and their binding poses in terms of the optimized 3D coordinates of the protein–ligand complexes, whereas other methods predict only identities of binding-site residues or copy binding geometry from similar proteins. The additional information on the specific binding geometry would be very useful for applications in functional studies and computer-aided drug discovery. Oxford University Press 2014-07-01 2014-04-21 /pmc/articles/PMC4086128/ /pubmed/24753427 http://dx.doi.org/10.1093/nar/gku321 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Heo, Lim Shin, Woong-Hee Lee, Myeong Sup Seok, Chaok GalaxySite: ligand-binding-site prediction by using molecular docking |
title | GalaxySite: ligand-binding-site prediction by using molecular
docking |
title_full | GalaxySite: ligand-binding-site prediction by using molecular
docking |
title_fullStr | GalaxySite: ligand-binding-site prediction by using molecular
docking |
title_full_unstemmed | GalaxySite: ligand-binding-site prediction by using molecular
docking |
title_short | GalaxySite: ligand-binding-site prediction by using molecular
docking |
title_sort | galaxysite: ligand-binding-site prediction by using molecular
docking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086128/ https://www.ncbi.nlm.nih.gov/pubmed/24753427 http://dx.doi.org/10.1093/nar/gku321 |
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