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DynOmics: dynamics of structural proteome and beyond
DynOmics (dynomics.pitt.edu) is a portal developed to leverage rapidly growing structural proteomics data by efficiently and accurately evaluating the dynamics of structurally resolved systems, from individual molecules to large complexes and assemblies, in the context of their physiological environ...
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/PMC5793847/ https://www.ncbi.nlm.nih.gov/pubmed/28472330 http://dx.doi.org/10.1093/nar/gkx385 |
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author | Li, Hongchun Chang, Yuan-Yu Lee, Ji Young Bahar, Ivet Yang, Lee-Wei |
author_facet | Li, Hongchun Chang, Yuan-Yu Lee, Ji Young Bahar, Ivet Yang, Lee-Wei |
author_sort | Li, Hongchun |
collection | PubMed |
description | DynOmics (dynomics.pitt.edu) is a portal developed to leverage rapidly growing structural proteomics data by efficiently and accurately evaluating the dynamics of structurally resolved systems, from individual molecules to large complexes and assemblies, in the context of their physiological environment. At the core of the portal is a newly developed server, ENM 1.0, which permits users to efficiently generate information on the collective dynamics of any structure in PDB format, user-uploaded or database-retrieved. ENM 1.0 integrates two widely used elastic network models (ENMs)—the Gaussian Network Model (GNM) and the Anisotropic Network Model (ANM), extended to take account of molecular environment. It enables users to assess potentially functional sites, signal transduction or allosteric communication mechanisms, and protein–protein and protein–DNA interaction poses, in addition to delivering ensembles of accessible conformers reconstructed at atomic details based on the global modes of motions predicted by the ANM. The ‘environment’ is defined in a flexible manner, from lipid bilayer and crystal contacts, to substrate or ligands bound to a protein, or surrounding subunits in a multimeric structure or assembly. User-friendly interactive features permit users to easily visualize how the environment alter the intrinsic dynamics of the query systems. ENM 1.0 can be accessed at http://enm.pitt.edu/ or http://dyn.life.nthu.edu.tw/oENM/. |
format | Online Article Text |
id | pubmed-5793847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57938472018-02-06 DynOmics: dynamics of structural proteome and beyond Li, Hongchun Chang, Yuan-Yu Lee, Ji Young Bahar, Ivet Yang, Lee-Wei Nucleic Acids Res Web Server Issue DynOmics (dynomics.pitt.edu) is a portal developed to leverage rapidly growing structural proteomics data by efficiently and accurately evaluating the dynamics of structurally resolved systems, from individual molecules to large complexes and assemblies, in the context of their physiological environment. At the core of the portal is a newly developed server, ENM 1.0, which permits users to efficiently generate information on the collective dynamics of any structure in PDB format, user-uploaded or database-retrieved. ENM 1.0 integrates two widely used elastic network models (ENMs)—the Gaussian Network Model (GNM) and the Anisotropic Network Model (ANM), extended to take account of molecular environment. It enables users to assess potentially functional sites, signal transduction or allosteric communication mechanisms, and protein–protein and protein–DNA interaction poses, in addition to delivering ensembles of accessible conformers reconstructed at atomic details based on the global modes of motions predicted by the ANM. The ‘environment’ is defined in a flexible manner, from lipid bilayer and crystal contacts, to substrate or ligands bound to a protein, or surrounding subunits in a multimeric structure or assembly. User-friendly interactive features permit users to easily visualize how the environment alter the intrinsic dynamics of the query systems. ENM 1.0 can be accessed at http://enm.pitt.edu/ or http://dyn.life.nthu.edu.tw/oENM/. Oxford University Press 2017-07-03 2017-05-03 /pmc/articles/PMC5793847/ /pubmed/28472330 http://dx.doi.org/10.1093/nar/gkx385 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 Li, Hongchun Chang, Yuan-Yu Lee, Ji Young Bahar, Ivet Yang, Lee-Wei DynOmics: dynamics of structural proteome and beyond |
title | DynOmics: dynamics of structural proteome and beyond |
title_full | DynOmics: dynamics of structural proteome and beyond |
title_fullStr | DynOmics: dynamics of structural proteome and beyond |
title_full_unstemmed | DynOmics: dynamics of structural proteome and beyond |
title_short | DynOmics: dynamics of structural proteome and beyond |
title_sort | dynomics: dynamics of structural proteome and beyond |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793847/ https://www.ncbi.nlm.nih.gov/pubmed/28472330 http://dx.doi.org/10.1093/nar/gkx385 |
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