Solution of chemical master equations for nonlinear stochastic reaction networks

Patrick Smadbeck, Yiannis N. Kaznessis

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Stochasticity in the dynamics of small reacting systems requires discrete-probabilistic models of reaction kinetics instead of traditional continuous-deterministic ones. The master probability equation is a complete model of randomly evolving molecular populations. Because of its ambitious character, the master equation remained unsolved for all but the simplest of molecular interaction networks. With the first solution of chemical master equations (CMEs), a wide range of experimental observations of small-system interactions may be mathematically conceptualized.

Original languageEnglish (US)
Pages (from-to)90-95
Number of pages6
JournalCurrent Opinion in Chemical Engineering
Volume5
DOIs
StatePublished - Aug 2014

Bibliographical note

Funding Information:
This work was supported by a grant from the National Institutes of Health (American Recovery and Reinvestment Act grant GM086865 ) and a grant from the National Science Foundation ( CBET-0644792 ) with computational support from the Minnesota Supercomputing Institute (MSI) . Support from the University of Minnesota Digital Technology Center and the University of Minnesota Biotechnology Institute is also acknowledged.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

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