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SUMMARY:Time Series Analysis of Diffusion with Transient Binding - John Fr
 icks (Pennsylvania State University)
DTSTART:20160513T100000Z
DTEND:20160513T110000Z
UID:TALK66173@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:In living cellls\, Brownian forces play a dominant role in the
  movement of small and not so small particles\, such as vesicles\, organel
 les\, etc.   However\, proteins and other macromolecules bind to one anoth
 er\, altering the underlying Brownian dynamics.&nbsp\; In this talk\, clas
 sical approaches in the biophysical literature to time series which switch
  between bound and unbound states will be presented\, and an alternative a
 pproach using stochastic expectation-maximization algorithm (EM) combined 
 with particle filters will be proposed along with extensions for non-quadr
 atic potentials when the particle is bound.&nbsp\; As an example system\, 
 molecular motors\, such as kinesin\, switch between weakly and strongly bo
 und states\, as well as directed transport.
LOCATION:Seminar Room 2\, Newton Institute
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