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oGNM: online computation of structural dynamics using the Gaussian Network Model
An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperative fluctuations accessible under native state conditions, is a first step towards understanding molecular mechanisms relevant to biological function. We present a web-based system, oGNM that enab...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538811/ https://www.ncbi.nlm.nih.gov/pubmed/16845002 http://dx.doi.org/10.1093/nar/gkl084 |
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author | Yang, Lee-Wei Rader, A. J. Liu, Xiong Jursa, Cristopher Jon Chen, Shann Ching Karimi, Hassan A. Bahar, Ivet |
author_facet | Yang, Lee-Wei Rader, A. J. Liu, Xiong Jursa, Cristopher Jon Chen, Shann Ching Karimi, Hassan A. Bahar, Ivet |
author_sort | Yang, Lee-Wei |
collection | PubMed |
description | An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperative fluctuations accessible under native state conditions, is a first step towards understanding molecular mechanisms relevant to biological function. We present a web-based system, oGNM that enables users to calculate online the shape and dispersion of normal modes of motion for proteins, oligonucleotides and their complexes, or associated biological units, using the Gaussian Network Model (GNM). Computations with the new engine are 5–6 orders of magnitude faster than those using conventional normal mode analyses. Two cases studies illustrate the utility of oGNM. The first shows that the thermal fluctuations predicted for 1250 non-homologous proteins correlate well with X-ray crystallographic data over a broad range [7.3–15 Å] of inter-residue interaction cutoff distances and the correlations improve with increasing observation temperatures. The second study, focused on 64 oligonucleotides and oligonucleotide–protein complexes, shows that good agreement with experiments is achieved by representing each nucleotide by three GNM nodes (as opposed to one-node-per-residue in proteins) along with uniform interaction ranges for all components of the complexes. These results open the way to a rapid assessment of the dynamics of DNA/RNA-containing complexes. The server can be accessed at . |
format | Text |
id | pubmed-1538811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15388112006-08-18 oGNM: online computation of structural dynamics using the Gaussian Network Model Yang, Lee-Wei Rader, A. J. Liu, Xiong Jursa, Cristopher Jon Chen, Shann Ching Karimi, Hassan A. Bahar, Ivet Nucleic Acids Res Article An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperative fluctuations accessible under native state conditions, is a first step towards understanding molecular mechanisms relevant to biological function. We present a web-based system, oGNM that enables users to calculate online the shape and dispersion of normal modes of motion for proteins, oligonucleotides and their complexes, or associated biological units, using the Gaussian Network Model (GNM). Computations with the new engine are 5–6 orders of magnitude faster than those using conventional normal mode analyses. Two cases studies illustrate the utility of oGNM. The first shows that the thermal fluctuations predicted for 1250 non-homologous proteins correlate well with X-ray crystallographic data over a broad range [7.3–15 Å] of inter-residue interaction cutoff distances and the correlations improve with increasing observation temperatures. The second study, focused on 64 oligonucleotides and oligonucleotide–protein complexes, shows that good agreement with experiments is achieved by representing each nucleotide by three GNM nodes (as opposed to one-node-per-residue in proteins) along with uniform interaction ranges for all components of the complexes. These results open the way to a rapid assessment of the dynamics of DNA/RNA-containing complexes. The server can be accessed at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538811/ /pubmed/16845002 http://dx.doi.org/10.1093/nar/gkl084 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Yang, Lee-Wei Rader, A. J. Liu, Xiong Jursa, Cristopher Jon Chen, Shann Ching Karimi, Hassan A. Bahar, Ivet oGNM: online computation of structural dynamics using the Gaussian Network Model |
title | oGNM: online computation of structural dynamics using the Gaussian Network Model |
title_full | oGNM: online computation of structural dynamics using the Gaussian Network Model |
title_fullStr | oGNM: online computation of structural dynamics using the Gaussian Network Model |
title_full_unstemmed | oGNM: online computation of structural dynamics using the Gaussian Network Model |
title_short | oGNM: online computation of structural dynamics using the Gaussian Network Model |
title_sort | ognm: online computation of structural dynamics using the gaussian network model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538811/ https://www.ncbi.nlm.nih.gov/pubmed/16845002 http://dx.doi.org/10.1093/nar/gkl084 |
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