Deciphering Parameter Sensitivity in the BvgAS Signal Transduction

PLoS One. 2016 Jan 26;11(1):e0147281. doi: 10.1371/journal.pone.0147281. eCollection 2016.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacterial Proteins / genetics
  • Bacterial Proteins / metabolism
  • Bordetella pertussis / genetics
  • Bordetella pertussis / metabolism*
  • Models, Theoretical
  • Operon / genetics
  • Phosphorylation
  • Signal Transduction*
  • Transcription, Genetic

Substances

  • Bacterial Proteins

Grants and funding

TM, SC, and SKB acknowledge financial support from CSIR (Council of Scientific & Industrial Research), India [01(2771)/14/EMR-II]. SKB is thankful to Bose Institute, Kolkata, India for research fund. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.