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BEGIN:VEVENT
DTSTAMP:20260907T075941Z
LAST-MODIFIED:20160427T173351Z
DTSTART:20160509T140000Z
DTEND:20160509T150000Z
UID:event1602@bu.edu
URL:http://physics.bu.edu/internal/events/show/1602
SUMMARY:A Statistical Physics Approach to Self-Assembly and Computation in 
	Cellular Signal Transduction
DESCRIPTION:Featuring Ching-Hao Wang\n\nPart of the Preliminary Oral Exam.\
	n\nExamining Committee:\n\nPankaj Mehta\, Kirill Korolev\, Claudio Chamon\,
	 Liam Pitzpatrick\, Rama Bansil\n\nAbstract:\n\nSignal transduction is the 
	process through which extracellular cues are transduced into intracellular 
	molecular responses. It is carried out by specialized signaling pathways co
	nsisting of proteins that can physically bind each other and modify enzymat
	ic activities. In this talk\, I’ll argue that signal transduction is -- a
	t both the fundamental and practical level -- a high-level computation mach
	ine that operates on a specific "biophysical grammar" which has a natural i
	nterpretation as a lambda-calculus (an important concept in mathematical lo
	gic of computation).  I will demonstrate the utility of of this perspective
	 by showing how we are using ideas from statistical physics to develop new 
	frameworks for designing synthetic signaling networks to carry out specific
	 computations and decisions. I will end by discussing future research direc
	tions including strategies of quantifying the computational power of signal
	ing networks (capacity) and identifying the general design principles gover
	ning computation by protein-protein interaction networks.\n\n\n\n\n\n![Chin
	g-Hao](/resources/event-image/1602/540a3cb_original)
LOCATION:SCI 328\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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