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Deciphering Parameter Sensitivity in the BvgAS Signal Transduction
To understand the switching of different phenotypic phases of Bordetella pertussis, we propose an optimized mathematical framework for signal transduction through BvgAS two-component system. The response of the network output to the sensory input has been demonstrated in steady state. An analysis in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727886/ https://www.ncbi.nlm.nih.gov/pubmed/26812153 http://dx.doi.org/10.1371/journal.pone.0147281 |
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author | Mapder, Tarunendu Talukder, Srijeeta Chattopadhyay, Sudip Banik, Suman K. |
author_facet | Mapder, Tarunendu Talukder, Srijeeta Chattopadhyay, Sudip Banik, Suman K. |
author_sort | Mapder, Tarunendu |
collection | PubMed |
description | To understand the switching of different phenotypic phases of Bordetella pertussis, we propose an optimized mathematical framework for signal transduction through BvgAS two-component system. The response of the network output to the sensory input has been demonstrated in steady state. An analysis in terms of local sensitivity amplification characterizes the nature of the molecular switch. The sensitivity analysis of the model parameters within the framework of various correlation coefficients helps to decipher the contribution of the modular structure in signal propagation. Once classified, the model parameters are tuned to generate the behavior of some novel strains using simulated annealing, a stochastic optimization technique. |
format | Online Article Text |
id | pubmed-4727886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47278862016-02-03 Deciphering Parameter Sensitivity in the BvgAS Signal Transduction Mapder, Tarunendu Talukder, Srijeeta Chattopadhyay, Sudip Banik, Suman K. PLoS One Research Article To understand the switching of different phenotypic phases of Bordetella pertussis, we propose an optimized mathematical framework for signal transduction through BvgAS two-component system. The response of the network output to the sensory input has been demonstrated in steady state. An analysis in terms of local sensitivity amplification characterizes the nature of the molecular switch. The sensitivity analysis of the model parameters within the framework of various correlation coefficients helps to decipher the contribution of the modular structure in signal propagation. Once classified, the model parameters are tuned to generate the behavior of some novel strains using simulated annealing, a stochastic optimization technique. Public Library of Science 2016-01-26 /pmc/articles/PMC4727886/ /pubmed/26812153 http://dx.doi.org/10.1371/journal.pone.0147281 Text en © 2016 Mapder 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mapder, Tarunendu Talukder, Srijeeta Chattopadhyay, Sudip Banik, Suman K. Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title | Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title_full | Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title_fullStr | Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title_full_unstemmed | Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title_short | Deciphering Parameter Sensitivity in the BvgAS Signal Transduction |
title_sort | deciphering parameter sensitivity in the bvgas signal transduction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727886/ https://www.ncbi.nlm.nih.gov/pubmed/26812153 http://dx.doi.org/10.1371/journal.pone.0147281 |
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