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Time Series Analysis of Diffusion with Transient Binding

Presented by: 
John Fricks Pennsylvania State University
Friday 13th May 2016 - 11:00 to 12:00
INI Seminar Room 2
In living cellls, Brownian forces play a dominant role in the movement of small and not so small particles, such as vesicles, organelles, etc. However, proteins and other macromolecules bind to one another, altering the underlying Brownian dynamics.  In this talk, classical approaches in the biophysical literature to time series which switch between bound and unbound states will be presented, and an alternative approach using stochastic expectation-maximization algorithm (EM) combined with particle filters will be proposed along with extensions for non-quadratic potentials when the particle is bound.  As an example system, molecular motors, such as kinesin, switch between weakly and strongly bound states, as well as directed transport.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons