Cargando…

Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation

A novel approach to reveal intramolecular signal transduction network is proposed in this work. To this end, a new algorithm of network construction is developed, which is based on a new protein dynamics model of energy dissipation. A key feature of this approach is that direction information is spe...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Cheng-Wei, Xiu, Zhi-Long, Zeng, An-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282753/
https://www.ncbi.nlm.nih.gov/pubmed/22363664
http://dx.doi.org/10.1371/journal.pone.0031529
_version_ 1782224118609870848
author Ma, Cheng-Wei
Xiu, Zhi-Long
Zeng, An-Ping
author_facet Ma, Cheng-Wei
Xiu, Zhi-Long
Zeng, An-Ping
author_sort Ma, Cheng-Wei
collection PubMed
description A novel approach to reveal intramolecular signal transduction network is proposed in this work. To this end, a new algorithm of network construction is developed, which is based on a new protein dynamics model of energy dissipation. A key feature of this approach is that direction information is specified after inferring protein residue-residue interaction network involved in the process of signal transduction. This enables fundamental analysis of the regulation hierarchy and identification of regulation hubs of the signaling network. A well-studied allosteric enzyme, E. coli aspartokinase III, is used as a model system to demonstrate the new method. Comparison with experimental results shows that the new approach is able to predict all the sites that have been experimentally proved to desensitize allosteric regulation of the enzyme. In addition, the signal transduction network shows a clear preference for specific structural regions, secondary structural types and residue conservation. Occurrence of super-hubs in the network indicates that allosteric regulation tends to gather residues with high connection ability to collectively facilitate the signaling process. Furthermore, a new parameter of propagation coefficient is defined to determine the propagation capability of residues within a signal transduction network. In conclusion, the new approach is useful for fundamental understanding of the process of intramolecular signal transduction and thus has significant impact on rational design of novel allosteric proteins.
format Online
Article
Text
id pubmed-3282753
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32827532012-02-23 Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation Ma, Cheng-Wei Xiu, Zhi-Long Zeng, An-Ping PLoS One Research Article A novel approach to reveal intramolecular signal transduction network is proposed in this work. To this end, a new algorithm of network construction is developed, which is based on a new protein dynamics model of energy dissipation. A key feature of this approach is that direction information is specified after inferring protein residue-residue interaction network involved in the process of signal transduction. This enables fundamental analysis of the regulation hierarchy and identification of regulation hubs of the signaling network. A well-studied allosteric enzyme, E. coli aspartokinase III, is used as a model system to demonstrate the new method. Comparison with experimental results shows that the new approach is able to predict all the sites that have been experimentally proved to desensitize allosteric regulation of the enzyme. In addition, the signal transduction network shows a clear preference for specific structural regions, secondary structural types and residue conservation. Occurrence of super-hubs in the network indicates that allosteric regulation tends to gather residues with high connection ability to collectively facilitate the signaling process. Furthermore, a new parameter of propagation coefficient is defined to determine the propagation capability of residues within a signal transduction network. In conclusion, the new approach is useful for fundamental understanding of the process of intramolecular signal transduction and thus has significant impact on rational design of novel allosteric proteins. Public Library of Science 2012-02-20 /pmc/articles/PMC3282753/ /pubmed/22363664 http://dx.doi.org/10.1371/journal.pone.0031529 Text en Ma et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ma, Cheng-Wei
Xiu, Zhi-Long
Zeng, An-Ping
Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title_full Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title_fullStr Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title_full_unstemmed Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title_short Discovery of Intramolecular Signal Transduction Network Based on a New Protein Dynamics Model of Energy Dissipation
title_sort discovery of intramolecular signal transduction network based on a new protein dynamics model of energy dissipation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282753/
https://www.ncbi.nlm.nih.gov/pubmed/22363664
http://dx.doi.org/10.1371/journal.pone.0031529
work_keys_str_mv AT machengwei discoveryofintramolecularsignaltransductionnetworkbasedonanewproteindynamicsmodelofenergydissipation
AT xiuzhilong discoveryofintramolecularsignaltransductionnetworkbasedonanewproteindynamicsmodelofenergydissipation
AT zenganping discoveryofintramolecularsignaltransductionnetworkbasedonanewproteindynamicsmodelofenergydissipation