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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Stochastic coagulation-fragmentation models for th
 e study of protein aggregation phenomena - Romain 
 Yvinec (Université François-Rabelais Tours\; INRA 
 - Institut National de la Recherche Agronomique)
DTSTART;TZID=Europe/London:20160316T150000
DTEND;TZID=Europe/London:20160316T160000
UID:TALK64976AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/64976
DESCRIPTION:This work is motivated by protein aggregation phen
 omena  &nbsp\; in neurodegenerative&nbsp\; disease
 s. A key observation of \\textit{in-vitro}  &nbsp\
 ; polymerization experiments of prion protein is t
 he large variability  &nbsp\; of the so-called &#3
 9\;nucleation time&#39\;\,&nbsp\; which is experim
 entally defined  &nbsp\; as the lag time before th
 e polymerization of proteins trully starts.  &nbsp
 \;  &nbsp\; In this context\, we study a stochasti
 c version of a well-known  &nbsp\; nucleation mode
 l in physics\, namely the Becker-D\\"oring model. 
  &nbsp\; In this model\, aggregates may increase o
 r decrease their size  &nbsp\; one-by-one\, by cap
 turing or shedding a single particle. I will  &nbs
 p\; present numerical and analytical investigation
  of the  &nbsp\; nucleation time as a first passag
 e time problem.  &nbsp\;  I also will present limi
 t theorem techniques to study the link  &nbsp\; fr
 om the discrete size Becker-D\\"oring model to a c
 ontinuous  size version (the Lifshitz-Slyozov mode
 l) and (numerically  observed) large deviations fr
 om the mean-field limit.  &nbsp\; Finally\, I will
  present state-of-the art studies of more  &nbsp\;
  general stochastic coagulation-fragmentation mode
 ls.
LOCATION:Seminar Room 2\, Newton Institute
CONTACT:INI IT
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