3D modeling programs using artificial intelligence (AI) have  revolutionized structural biology, often enabling protein structures to  be predicted with unprecedented levels of confidence. However, these structures remain models, and it is always interesting to compare  results from different predictors (Alphafold, Rosettafold, EMSfold...), not to limit oneself to the model generated with the highest confidence score, and to introduce experimental data such as intermolecular contact zones into one's choice. We have created a webserver, named  "FoldScript", to efficiently answer these different questions. I will present this new webserver during the talk, show how we used it  to analyze protein complexes studied by our team, and how Foldscript  provided us with a rational aid to decision-making.

Speaker(s)

MMSB Laboratory

Prof. Patrice Gouet
Head of the team of structural retrovirology, MMSB Laboratory, Molecular Microbiology and Structural Biochemistry - UMR5086

Institut de Biologie et Chimie des Protéines