Stochastic simulation of prokaryotic two-component signalling indicates stochasticity-induced active-state locking and growth-rate dependent bistability-Reference-Cited by-同舟云学术

Stochastic simulation of prokaryotic two-component signalling indicates stochasticity-induced active-state locking and growth-rate dependent bistability

Published:2014 Issue:9 Volume:10 Page:2338-2346
ISSN:1742-206X
Container-title:Mol. BioSyst.
language:en
Short-container-title:Mol. BioSyst.

Author:

Wei Katy¹²³⁴,Moinat Maxim⁵⁶⁷⁸⁹,Maarleveld Timo R.⁵⁶⁷⁸⁹,Bruggeman Frank J.⁵⁶⁷⁸⁹

Affiliation:

1. Department of Bionanoscience

2. Kavli Institute of Nanoscience

3. Delft University of Technology

4. 2628 CJ Delft, The Netherlands

5. Systems Bioinformatics

6. Amsterdam Institute for Molecules

7. Medicines & Systems

8. VU University

9. 1081 HV Amsterdam, The Netherlands

Abstract

Stochastic modelling of two-component signalling networks reveals active-state locking and growth-rate dependent bistability.

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2014/MB/C4MB00264D

Reference18 articles.

1. Two-component signaling circuit structure and properties

2. EnvZ-OmpR Interaction and Osmoregulation in Escherichia coli

3. The Pleiotropic Two-Component Regulatory System PhoP-PhoQ

4. Two-Component Signal Transduction

5. Product dependence and bifunctionality compromise the ultrasensitivity of signal transduction cascades

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