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Computational study of parameter sensitivity in DevR regulated gene expression

The DevRS two-component system plays a pivotal role in signal transmission and downstream gene regulation in Mycobacterium tuberculosis. Under the hypoxic condition, phosphorylated DevR interacts with multiple binding sites at the promoter region of the target genes. In the present work, we carried...

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Autores principales: Das, Jagannath, Mapder, Tarunendu, Chattopadhyay, Sudip, Banik, Suman K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018068/
https://www.ncbi.nlm.nih.gov/pubmed/32053690
http://dx.doi.org/10.1371/journal.pone.0228967
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author Das, Jagannath
Mapder, Tarunendu
Chattopadhyay, Sudip
Banik, Suman K.
author_facet Das, Jagannath
Mapder, Tarunendu
Chattopadhyay, Sudip
Banik, Suman K.
author_sort Das, Jagannath
collection PubMed
description The DevRS two-component system plays a pivotal role in signal transmission and downstream gene regulation in Mycobacterium tuberculosis. Under the hypoxic condition, phosphorylated DevR interacts with multiple binding sites at the promoter region of the target genes. In the present work, we carried out a detailed computational analysis to figure out the sensitivity of the kinetic parameters. The set of kinetic parameters takes care of the interaction among phosphorylated DevR and the binding sites, transcription and translation processes. We employ the method of stochastic optimization to quantitate the relevant kinetic parameter set necessary for DevR regulated gene expression. Measures of different correlation coefficients provide the relative ordering of kinetic parameters involved in gene regulation. Results obtained from correlation coefficients are further corroborated by sensitivity amplification.
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spelling pubmed-70180682020-02-26 Computational study of parameter sensitivity in DevR regulated gene expression Das, Jagannath Mapder, Tarunendu Chattopadhyay, Sudip Banik, Suman K. PLoS One Research Article The DevRS two-component system plays a pivotal role in signal transmission and downstream gene regulation in Mycobacterium tuberculosis. Under the hypoxic condition, phosphorylated DevR interacts with multiple binding sites at the promoter region of the target genes. In the present work, we carried out a detailed computational analysis to figure out the sensitivity of the kinetic parameters. The set of kinetic parameters takes care of the interaction among phosphorylated DevR and the binding sites, transcription and translation processes. We employ the method of stochastic optimization to quantitate the relevant kinetic parameter set necessary for DevR regulated gene expression. Measures of different correlation coefficients provide the relative ordering of kinetic parameters involved in gene regulation. Results obtained from correlation coefficients are further corroborated by sensitivity amplification. Public Library of Science 2020-02-13 /pmc/articles/PMC7018068/ /pubmed/32053690 http://dx.doi.org/10.1371/journal.pone.0228967 Text en © 2020 Das 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
Das, Jagannath
Mapder, Tarunendu
Chattopadhyay, Sudip
Banik, Suman K.
Computational study of parameter sensitivity in DevR regulated gene expression
title Computational study of parameter sensitivity in DevR regulated gene expression
title_full Computational study of parameter sensitivity in DevR regulated gene expression
title_fullStr Computational study of parameter sensitivity in DevR regulated gene expression
title_full_unstemmed Computational study of parameter sensitivity in DevR regulated gene expression
title_short Computational study of parameter sensitivity in DevR regulated gene expression
title_sort computational study of parameter sensitivity in devr regulated gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018068/
https://www.ncbi.nlm.nih.gov/pubmed/32053690
http://dx.doi.org/10.1371/journal.pone.0228967
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