title: Optimal path to epigenetic switching.
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.
authors.affiliation: Department of Physics and Astronomy and BioMaPS Institute, Rutgers University, Piscataway, New Jersey 08854, USA.
authors.forename: David Marin
authors.initials: DM
authors.lastname: Roma
authors.forename: Ruadhan A
authors.initials: RA
authors.lastname: O'Flanagan
authors.forename: Andrei E
authors.initials: AE
authors.lastname: Ruckenstein
authors.forename: Anirvan M
authors.initials: AM
authors.lastname: Sengupta
authors.forename: Ranjan
authors.initials: R
authors.lastname: Mukhopadhyay
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005809:Genes, Regulator / Q000502:physiology*; D006801:Humans; D008957:Models, Genetic; D015398:Signal Transduction / Q000502:physiology*; D014157:Transcription Factors / Q000502:physiology*; D015533:Transcriptional Activation / Q000502:physiology*
chemical_list: D014157:Transcription Factors