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Computational study of parameter sensitivity in DevR regulated gene expression

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  • Jagannath Das
  • Tarunendu Mapder
  • Sudip Chattopadhyay
  • Suman K Banik

Abstract

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.

Suggested Citation

  • Jagannath Das & Tarunendu Mapder & Sudip Chattopadhyay & Suman K Banik, 2020. "Computational study of parameter sensitivity in DevR regulated gene expression," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0228967
    DOI: 10.1371/journal.pone.0228967
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    References listed on IDEAS

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    1. Tarunendu Mapder & Srijeeta Talukder & Sudip Chattopadhyay & Suman K Banik, 2016. "Deciphering Parameter Sensitivity in the BvgAS Signal Transduction," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
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