Scientific Talk – Uncovering and reprogramming GPCR signaling by computational design

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Prof. Patrick Barth (EPFL*) will give a scientific talk about Uncovering and reprogramming GPCR signaling bycomputational design within our Lecturer Series. The lecture will be complemented with a discussion. 

Date: July 15, 2021 from 2-3PM.
 

Professor Patrick Barth is Associate Professor at EPFL and Adjunct Associate Professor at Baylor College of Medicine, Houston, TX, USA. He received training in Physics, Chemistry and Biology (University of Paris, ENS) in France and performed his PhD at the Commissiariat a l’Energie Atomique in Saclay, France on structure/function studies of membrane proteins (photosystem I) using biochemical and biophysical experimental techniques. He carried out postdoctoral studies at University of California at Berkeley with Tom Alber on computational development for calculating protein electrostatics and designing de novo selective peptide inhibitors of cellular protein interactions. He then went to the University of Washington as a postdoctoral fellow and instructor in David Baker’s laboratory to develop computational techniques in the software Rosetta for predicting and designing membrane protein structures. He started his independent career and received tenure at Baylor College of Medicine. He will continue at EPFL to marry computation and experiment for understanding the molecular determinants of signal transduction, as well as modeling and designing membrane proteins with novel functions for various synthetic biology and therapeutic applications.

* Swiss Federal Institute of Technology (EPFL) Institute of Bioengineering Laboratoryof Protein and Cell Engineering (
https://barth-lab.epfl.ch/) & Adjunct Associate Professor Baylor College of Medicine Department of Pharmacology and Chemical Biology (https://www.bcm.edu/research/labs/patrick-barth). 

Who:
all interested

Online via ZOOM (new link): 

https://uni-leipzig.zoom.us/j/62023799786?pwd=QUhqbml3RnVHcnNCVWt5MkVCNllqdz09

Meeting-ID: 625 0554 8110 / Kenncode: 573848

Registration
not requested