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PMID: 15697625 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, U.S. Gov't, P.H.S.

Optimal path to epigenetic switching.

Physical review. E, Statistical, nonlinear, and soft matter physics ·Vol. 71 ·No. 1 Pt 1 ·2005-01-00 ·Pages 011902

Roma DM, O'Flanagan RA, Ruckenstein AE, Sengupta AM, Mukhopadhyay R

Abstract

We use large deviation methods to calculate rates of noise-induced transitions between states in multistable genetic networks. We analyze a synthetic biochemical circuit, the toggle switch, and compare the results to those obtained from a numerical solution of the master equation.

MeSH Terms

Adaptation, Physiological/genetics Algorithms Animals Computer Simulation Genes, Regulator/physiology Humans Models, Genetic Signal Transduction/physiology Transcription Factors/physiology Transcriptional Activation/physiology

Chemicals

Transcription Factors

Authors & Affiliations

5 authors, click to expand affiliations / ORCID

Roma David Marin

Department of Physics and Astronomy and BioMaPS Institute, Rutgers University, Piscataway, New Jersey 08854, USA.

O'Flanagan Ruadhan A

Ruckenstein Andrei E

Sengupta Anirvan M

Mukhopadhyay Ranjan

Article Info

Journal

Physical review. E, Statistical, nonlinear, and soft matter physics

Abbr.

Phys Rev E Stat Nonlin Soft Matter Phys

ISSN

1539-3755

DOI

10.1103/PhysRevE.71.011902

Published

2005-01-00

Epub

2005-00-11

Pages

011902

Language

English

Region

United States

NLM ID

101136452

Subset

Grants

NIGMS NIH HHS · P20 GM64375 · United States

External Links

PubMed source DOI: 10.1103/PhysRevE.71.011902

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