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...
Autores principales: | , , |
---|---|
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 |