Ven. 18/01/2019 14:00 Grande Ourse, Bâtiment 13, Etage 1 (à confirmer)Séminaire
BITBOL Anne-florence (Laboratoire Jean Perrin, CNRS - Sorbonne Université)
Proteins: sequences and physics
Proteins and multi-protein complexes play crucial roles in our cells. The function of a protein, including its interactions, is encoded in its amino-acid sequence, and the recent explosion of available sequences has inspired data-driven approaches to discover the principles of protein operation. At the root of these new approaches is the observation that amino-acid residues which possess related functional roles often evolve in a correlated way. Pour plus d'informations, merci de contacter Walter J.-C.
In the first part of my talk, I will present two novel statistical physics-inspired methods to identify which proteins are specific interaction partners, starting from sequence data alone. One method is based on the maximum-entropy inference approach that has already allowed to infer protein structures from sequences, and the other one is based on information theory.
In the second part of my talk, I will propose a physical interpretation of the "sectors" of collectively correlated amino acids that have been discovered in several protein families through statistical analyses of sequence alignments. I will show that selection acting on an additive physical property of a protein generically gives rise to a sector.