Wednesday, May 21

3:00 PM-5:00 PM Ballroom III - Level B

MS42
Dynamical and Statistical Modeling of Biological Systems

Due to its intrinsic nonequilibrium nature and complexity, biological systems have become an exciting field for applying dynamical system and statistical methods to discover its underlying principles. The main theme of this minisymposium is to understand large-scale collective behavior from simple microscopic rules. The biological systems covered in this session range from RNA mutation, DNA sequence matching, protein folding to flocking dynamics. Simple microscopic rules based on experiment are used in modeling these biological systems. Continuum models can also be constructed for some cases in a coarse-grained level and analytical insight is often gained by comparing the biological systems to well studied physical systems.

Organizer: Yuhai Tu
IBM T. J. Watson Research Center

3:00 RNA Virus Evolution: Fluctuation-Driven Motion on a Smooth Landscape

Herbert Levine, Lev Tsimring, and Douglas Ridgway, University of California, San Diego; and David Kessler, Bar-Ilan University, Israel

3:30 Why Do Proteins Look Like Proteins?

Hao Li, Chao Tang, and Ned Wingreen, NEC Research Institute; and Robert Helling, University of Hamburg, Germany

4:00 DNA Sequence Matching and Nonequilibrium Dynamics with Multiplicative Noise

Terence Hwa and Miguel A. Munoz, University of California, San Diego; Dirk Drasdo and Michael Lassig, Max Planck Institute, Germany

4:30 Dynamics of Flocking: How Birds Fly Together

Yuhai Tu, Organizer; and John Toner, University of Oregon

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