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NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins
The NMSim web server implements a three-step approach for multiscale modeling of protein conformational changes. First, the protein structure is coarse-grained using the FIRST software. Second, a rigid cluster normal-mode analysis provides low-frequency normal modes. Third, these modes are used to e...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394247/ https://www.ncbi.nlm.nih.gov/pubmed/22669906 http://dx.doi.org/10.1093/nar/gks478 |
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author | Krüger, Dennis M. Ahmed, Aqeel Gohlke, Holger |
author_facet | Krüger, Dennis M. Ahmed, Aqeel Gohlke, Holger |
author_sort | Krüger, Dennis M. |
collection | PubMed |
description | The NMSim web server implements a three-step approach for multiscale modeling of protein conformational changes. First, the protein structure is coarse-grained using the FIRST software. Second, a rigid cluster normal-mode analysis provides low-frequency normal modes. Third, these modes are used to extend the recently introduced idea of constrained geometric simulations by biasing backbone motions of the protein, whereas side chain motions are biased toward favorable rotamer states (NMSim). The generated structures are iteratively corrected regarding steric clashes and stereochemical constraint violations. The approach allows performing three simulation types: unbiased exploration of conformational space; pathway generation by a targeted simulation; and radius of gyration-guided simulation. On a data set of proteins with experimentally observed conformational changes, the NMSim approach has been shown to be a computationally efficient alternative to molecular dynamics simulations for conformational sampling of proteins. The generated conformations and pathways of conformational transitions can serve as input to docking approaches or more sophisticated sampling techniques. The web server output is a trajectory of generated conformations, Jmol representations of the coarse-graining and a subset of the trajectory and data plots of structural analyses. The NMSim webserver, accessible at http://www.nmsim.de, is free and open to all users with no login requirement. |
format | Online Article Text |
id | pubmed-3394247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33942472012-07-30 NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins Krüger, Dennis M. Ahmed, Aqeel Gohlke, Holger Nucleic Acids Res Articles The NMSim web server implements a three-step approach for multiscale modeling of protein conformational changes. First, the protein structure is coarse-grained using the FIRST software. Second, a rigid cluster normal-mode analysis provides low-frequency normal modes. Third, these modes are used to extend the recently introduced idea of constrained geometric simulations by biasing backbone motions of the protein, whereas side chain motions are biased toward favorable rotamer states (NMSim). The generated structures are iteratively corrected regarding steric clashes and stereochemical constraint violations. The approach allows performing three simulation types: unbiased exploration of conformational space; pathway generation by a targeted simulation; and radius of gyration-guided simulation. On a data set of proteins with experimentally observed conformational changes, the NMSim approach has been shown to be a computationally efficient alternative to molecular dynamics simulations for conformational sampling of proteins. The generated conformations and pathways of conformational transitions can serve as input to docking approaches or more sophisticated sampling techniques. The web server output is a trajectory of generated conformations, Jmol representations of the coarse-graining and a subset of the trajectory and data plots of structural analyses. The NMSim webserver, accessible at http://www.nmsim.de, is free and open to all users with no login requirement. Oxford University Press 2012-07 2012-06-04 /pmc/articles/PMC3394247/ /pubmed/22669906 http://dx.doi.org/10.1093/nar/gks478 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Krüger, Dennis M. Ahmed, Aqeel Gohlke, Holger NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title | NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title_full | NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title_fullStr | NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title_full_unstemmed | NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title_short | NMSim Web Server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
title_sort | nmsim web server: integrated approach for normal mode-based geometric simulations of biologically relevant conformational transitions in proteins |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394247/ https://www.ncbi.nlm.nih.gov/pubmed/22669906 http://dx.doi.org/10.1093/nar/gks478 |
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