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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...

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Detalles Bibliográficos
Autores principales: Yang, Lee-Wei, Rader, A. J., Liu, Xiong, Jursa, Cristopher Jon, Chen, Shann Ching, Karimi, Hassan A., Bahar, Ivet
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
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 .
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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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