Séminaire de l’Institut Jacques Monod – Raphaël Guerois

Ce séminaire est organisé par l’Institut Jacques Monod et le laboratoire Epigénétique et Destin Cellulaire dans le cadre de l’inIdEx FORMULA,

Raphaël Guerois (Integrative Biology of the Cell (I2BC), CEA, CNRS, U P-Saclay, Gif-sur-Yvette) va présenter un séminaire de l’Institut Jacques Monod sur le thème :

Decoding protein interaction networks with AI-driven evolutionary insights

Résumé :

The rapid advancements in artificial intelligence have, within a few years, enabled the prediction of the three-dimensional structure of most proteins at atomic resolution [1]. These predictions critically depend on the evolutionary information available in the sequences of homologous proteins. Beyond modeling individual proteins, there is now a fundamental challenge to establish the most comprehensive mapping possible of macromolecular assemblies, which are central to cellular function. This goal faces several constraints, such as the combinatorial complexity of the interaction space and the type of evolutionary information needed to identify coevolution signals, which are much weaker at complex interfaces, especially in disordered regions of proteins. To achieve this goal, we are setting up computational pipelines [2, 3] with the aim of targeting the difficult task of predicting interactions mediated by disordered regions and pushing further the current boundaries to predict the structure of assemblies at large scale, addressing issues of conformational changes [4] and interaction specificities.