Coarse-graining stochastic biochemical networks

COFFEE_KLATCH  · Invited

Abstract

Biochemical processes typically involve huge numbers of individual reversible or irreversible steps, each with its own dynamical rate constants. Does the structural complexity of these biochemical networks necessarily result in complex dynamics? I will discuss a few examples where simple, nearly universal stochastic dynamical behaviors emerge from this complexity, and sometimes precisely because of this complexity.

*This work is partially supported by grants from NSF, HFSP, James S. McDonnell Foundation, and LANL LDRD program.

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Authors

  • Ilya Nemenman

    • Department of Physics and Department of Biology, Emory University, Atlanta, Georgia, USA
    • Dept. of Physics \& Dept. Of Biology, Emory University
    • Emory University
    • Departments of Physics and Biology, Computational and Life Sciences Initiative, Emory University, Atlanta, GA 30322, USA
    • Departments of Physics and Biology, Computational and Life Sciences Initiative, Emory University
    • Departments of Physics and Biology and Computational and Life Sciences Initiative, Emory University