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The anisotropic network model web server at 2015 (ANM 2.0)

Summary: The anisotropic network model (ANM) is one of the simplest yet powerful tools for exploring protein dynamics. Its main utility is to predict and visualize the collective motions of large complexes and assemblies near their equilibrium structures. The ANM server, introduced by us in 2006 hel...

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Detalles Bibliográficos
Autores principales: Eyal, Eran, Lum, Gengkon, Bahar, Ivet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410662/
https://www.ncbi.nlm.nih.gov/pubmed/25568280
http://dx.doi.org/10.1093/bioinformatics/btu847
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author Eyal, Eran
Lum, Gengkon
Bahar, Ivet
author_facet Eyal, Eran
Lum, Gengkon
Bahar, Ivet
author_sort Eyal, Eran
collection PubMed
description Summary: The anisotropic network model (ANM) is one of the simplest yet powerful tools for exploring protein dynamics. Its main utility is to predict and visualize the collective motions of large complexes and assemblies near their equilibrium structures. The ANM server, introduced by us in 2006 helped making this tool more accessible to non-sophisticated users. We now provide a new version (ANM 2.0), which allows inclusion of nucleic acids and ligands in the network model and thus enables the investigation of the collective motions of protein–DNA/RNA and –ligand systems. The new version offers the flexibility of defining the system nodes and the interaction types and cutoffs. It also includes extensive improvements in hardware, software and graphical interfaces. Availability and implementation: ANM 2.0 is available at http://anm.csb.pitt.edu Contact: eran.eyal@sheba.health.gov.il, eyal.eran@gmail.com
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spelling pubmed-44106622015-04-30 The anisotropic network model web server at 2015 (ANM 2.0) Eyal, Eran Lum, Gengkon Bahar, Ivet Bioinformatics Applications Notes Summary: The anisotropic network model (ANM) is one of the simplest yet powerful tools for exploring protein dynamics. Its main utility is to predict and visualize the collective motions of large complexes and assemblies near their equilibrium structures. The ANM server, introduced by us in 2006 helped making this tool more accessible to non-sophisticated users. We now provide a new version (ANM 2.0), which allows inclusion of nucleic acids and ligands in the network model and thus enables the investigation of the collective motions of protein–DNA/RNA and –ligand systems. The new version offers the flexibility of defining the system nodes and the interaction types and cutoffs. It also includes extensive improvements in hardware, software and graphical interfaces. Availability and implementation: ANM 2.0 is available at http://anm.csb.pitt.edu Contact: eran.eyal@sheba.health.gov.il, eyal.eran@gmail.com Oxford University Press 2015-05-01 2015-01-06 /pmc/articles/PMC4410662/ /pubmed/25568280 http://dx.doi.org/10.1093/bioinformatics/btu847 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Eyal, Eran
Lum, Gengkon
Bahar, Ivet
The anisotropic network model web server at 2015 (ANM 2.0)
title The anisotropic network model web server at 2015 (ANM 2.0)
title_full The anisotropic network model web server at 2015 (ANM 2.0)
title_fullStr The anisotropic network model web server at 2015 (ANM 2.0)
title_full_unstemmed The anisotropic network model web server at 2015 (ANM 2.0)
title_short The anisotropic network model web server at 2015 (ANM 2.0)
title_sort anisotropic network model web server at 2015 (anm 2.0)
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410662/
https://www.ncbi.nlm.nih.gov/pubmed/25568280
http://dx.doi.org/10.1093/bioinformatics/btu847
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