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SUMMARY:Inaugural lecture // Membrane Proteins: from Structure Prediction 
 to Designing Novel Functions
DTSTART:20181206T171500
DTEND:20181206T181500
DTSTAMP:20260408T005610Z
UID:209c4f89399a3974bbbdf1b4200b230035361fa3144800d1e02240b5
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof. Patrick Barth\, Institute of Bioengineering\, EPFL\nINAU
 GURAL LECTURE\n\nAbstract:\nThe cells that make up our body communicate wi
 th their environment through nanoscopic objects called membrane proteins. 
 These proteins reside inside lipid cell membranes\, the boundaries that se
 parate the inside of the cell from its outside. Membranes transmit signals
  and transport molecules that regulate critical cell functions in and out 
 of the cell. Dysfunctions of membrane proteins are associated with numerou
 s diseases and ~60% of current marketed drugs targeted them. Despite their
  prominent role\, membrane proteins have remained very challenging to stud
 y experimentally. To address this problem\, we have developed an ensemble 
 of computational techniques to predict membrane protein structures and fun
 ctions\, and facilitate experimental investigations. By marrying computati
 on with experiment\, we are now discovering the molecular underpinnings of
  their functions. We also apply these novel principles to design membrane 
 proteins for various applications in synthetic biology and therapeutics.\n
 \nProgram:\n- Introduction by Prof. A. Oates\, IBI Institute Director\n- I
 naugural Lecture\n- Apéritif\n \nBio:\nPatrick Barth is Associate Profes
 sor at EPFL and Adjunct Associate Professor at Baylor College of Medicine\
 , Houston\, TX\, USA. He received training in Physics and Chemistry (Unive
 rsity of Paris\, ENS) in France and performed his PhD at the Commissariat 
 a l'Energie Atomique in Saclay\, France on structure/function studies of m
 embrane proteins (photosystem I) using biochemical and biophysical experim
 ental techniques. He carried out postdoctoral studies at the University of
  California\, Berkeley with Tom Alber on computational development for cal
 culating protein electrostatics and designing protein recognition. Barth t
 hen went to the University of Washington as a postdoctoral fellow and inst
 ructor in David Baker's laboratory to develop computational techniques in 
 the Rosetta software for predicting and designing membrane protein structu
 res. He started his independent career and received tenure at Baylor Colle
 ge of Medicine. At EPFL\, he continues to combine theory\, computation\, a
 nd experiment to uncover the molecular principles of signal transduction\,
  and also to design membrane proteins with novel functions for various app
 lications in synthetic biology and therapeutics.
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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