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AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics
AMMOS2 is an interactive web server for efficient computational refinement of protein–small organic molecule complexes. The AMMOS2 protocol employs atomic-level energy minimization of a large number of experimental or modeled protein–ligand complexes. The web server is based on the previously develo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570140/ https://www.ncbi.nlm.nih.gov/pubmed/28486703 http://dx.doi.org/10.1093/nar/gkx397 |
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author | Labbé, Céline M. Pencheva, Tania Jereva, Dessislava Desvillechabrol, Dimitri Becot, Jérôme Villoutreix, Bruno O. Pajeva, Ilza Miteva, Maria A. |
author_facet | Labbé, Céline M. Pencheva, Tania Jereva, Dessislava Desvillechabrol, Dimitri Becot, Jérôme Villoutreix, Bruno O. Pajeva, Ilza Miteva, Maria A. |
author_sort | Labbé, Céline M. |
collection | PubMed |
description | AMMOS2 is an interactive web server for efficient computational refinement of protein–small organic molecule complexes. The AMMOS2 protocol employs atomic-level energy minimization of a large number of experimental or modeled protein–ligand complexes. The web server is based on the previously developed standalone software AMMOS (Automatic Molecular Mechanics Optimization for in silico Screening). AMMOS utilizes the physics-based force field AMMP sp4 and performs optimization of protein–ligand interactions at five levels of flexibility of the protein receptor. The new version 2 of AMMOS implemented in the AMMOS2 web server allows the users to include explicit water molecules and individual metal ions in the protein–ligand complexes during minimization. The web server provides comprehensive analysis of computed energies and interactive visualization of refined protein–ligand complexes. The ligands are ranked by the minimized binding energies allowing the users to perform additional analysis for drug discovery or chemical biology projects. The web server has been extensively tested on 21 diverse protein–ligand complexes. AMMOS2 minimization shows consistent improvement over the initial complex structures in terms of minimized protein–ligand binding energies and water positions optimization. The AMMOS2 web server is freely available without any registration requirement at the URL: http://drugmod.rpbs.univ-paris-diderot.fr/ammosHome.php. |
format | Online Article Text |
id | pubmed-5570140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55701402017-08-29 AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics Labbé, Céline M. Pencheva, Tania Jereva, Dessislava Desvillechabrol, Dimitri Becot, Jérôme Villoutreix, Bruno O. Pajeva, Ilza Miteva, Maria A. Nucleic Acids Res Web Server Issue AMMOS2 is an interactive web server for efficient computational refinement of protein–small organic molecule complexes. The AMMOS2 protocol employs atomic-level energy minimization of a large number of experimental or modeled protein–ligand complexes. The web server is based on the previously developed standalone software AMMOS (Automatic Molecular Mechanics Optimization for in silico Screening). AMMOS utilizes the physics-based force field AMMP sp4 and performs optimization of protein–ligand interactions at five levels of flexibility of the protein receptor. The new version 2 of AMMOS implemented in the AMMOS2 web server allows the users to include explicit water molecules and individual metal ions in the protein–ligand complexes during minimization. The web server provides comprehensive analysis of computed energies and interactive visualization of refined protein–ligand complexes. The ligands are ranked by the minimized binding energies allowing the users to perform additional analysis for drug discovery or chemical biology projects. The web server has been extensively tested on 21 diverse protein–ligand complexes. AMMOS2 minimization shows consistent improvement over the initial complex structures in terms of minimized protein–ligand binding energies and water positions optimization. The AMMOS2 web server is freely available without any registration requirement at the URL: http://drugmod.rpbs.univ-paris-diderot.fr/ammosHome.php. Oxford University Press 2017-07-03 2017-05-09 /pmc/articles/PMC5570140/ /pubmed/28486703 http://dx.doi.org/10.1093/nar/gkx397 Text en © The Author(s) 2017. 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 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 Labbé, Céline M. Pencheva, Tania Jereva, Dessislava Desvillechabrol, Dimitri Becot, Jérôme Villoutreix, Bruno O. Pajeva, Ilza Miteva, Maria A. AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title | AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title_full | AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title_fullStr | AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title_full_unstemmed | AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title_short | AMMOS2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
title_sort | ammos2: a web server for protein–ligand–water complexes refinement via molecular mechanics |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570140/ https://www.ncbi.nlm.nih.gov/pubmed/28486703 http://dx.doi.org/10.1093/nar/gkx397 |
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