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SUMMARY:Inferring Interaction Partners and Evolutionary Constraints from P
 rotein Sequences
DTSTART:20190320T091500
DTSTAMP:20260408T071116Z
UID:451a0d6f35291ada71536eef81e535cdc8cb7d6a5edabc603513a316
CATEGORIES:Conferences - Seminars
DESCRIPTION:Anne-Florence Bitbol\, Ph.D.\, CNRS & Sorbonne University\, Pa
 ris (F)\nBIOENGINEERING SEMINAR\n \nAbstract:\nProteins and multi-protein
  complexes play crucial roles in our cells. The amino-acid sequence of a p
 rotein encodes its function\, including its structure and its possible int
 eractions. In evolution\, random mutations affect the sequence\, while nat
 ural selection acts at the level of function. Hence\, shedding light on th
 e sequence-function mapping of proteins is central to a systems-level unde
 rstanding of cells\, and has far-reaching applications in synthetic biolog
 y and drug targeting. The current explosion of available sequence data has
  inspired data-driven approaches to discover the principles of protein ope
 ration. At the root of these approaches is the observation that amino-acid
  residues which possess related functional roles often evolve in a correla
 ted way.\n\nFirst\, I will present two novel methods to predict protein-pr
 otein interactions from sequence data. One method is based on the maximum-
 entropy inference approach that has already allowed to infer protein struc
 tures from sequences\, and the other one is based on information theory. T
 hese methods accurately identify which proteins are functional interaction
  partners among the paralogous proteins of two families\, starting from se
 quence data alone. They also provide signatures of the existence of intera
 ctions between protein families.\n\nThen\, I will propose a simple interpr
 etation of the origin of the "sectors" of collectively correlated amino ac
 ids that have been discovered in several protein families through statisti
 cal analyses of sequence alignments. I will show that selection acting on 
 any functional property of a protein\, represented by an additive trait\, 
 can give rise to such a sector. \n\nBio:\nCNRS Researcher in the Laborato
 ire Jean Perrin at Sorbonne Université in Paris\, France.\nUntil January 
 2016: Postdoctoral Research Fellow in the Biophysics Theory Group of the L
 ewis-Sigler Institute for Integrative Genomics at Princeton University\, i
 n Princeton\, NJ\, USA.\n2012: PhD at the Complex Matter and Complex Syste
 ms laboratory of Université Paris-Diderot\, Paris 7 and CNRS\, in Paris\,
  France.\n\n\nZoom link for attending remotely:  https://zoom.us/meeting/
 567807442
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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