Biological Networks: Does Function Follow Form?

ORAL

Abstract

Recently, studies of biological networks have focused on various topological measures (primarily degree distributions and subgraphs). Relating such graph-theoretic statistics to function is difficult, since a given topology does not uniquely determine function. In fact, a topology's ability to support multiple functions may itself provide a selective advantage to an organism, since a topology with multiple functions can be adaptable (on the time scale of the individual) or evolvable (on the time scale of the species). Here we present a quantitative measure of circuit function and use this measure to test if circuits with well-defined function or functions are common, and if evolvable topologies exist among them.

Authors

  • Etay Ziv

    • College of Physicians \& Surgeons, Department of Biomedical Engineering, Columbia University
  • Manuel Middendorf

    • Department of Physics, Columbia University
    • Columbia University, Department of Physics
  • Ilya Nemenman

    • Coulmbia University
    • Center for Computational Biology and Bioinformatics, Columbia University
  • Chris Wiggins

    • Applied Physics and Applied Mathematics, Center for Computational Biology and Bioinformatics, Columbia University