GEMME is a fast, scalable and simple method to predict mutational landscapes from natural sequences. It demonstrates how deleterious effects of a protein mutation are identified by looking at the closest known sequence accepting the mutation in the evolutionary tree of sequences and at its epistatic changes.  The article just appeared in Molecular Biology and Evolution.Link to the articleLink to the webserver

We propose the concept of "interacting region" and the dynJET2 method toward deciphering the complexity underlying protein surface usage and deformability. Interacting regions account for the multiple usage of a protein's surface residues by several partners and for the variability of protein interfaces coming from molecular flexibility. dynJET2 predicts interacting patches by crossing evolutionary, physico‐chemical and geometrical properties of the protein surface with information coming from complete cross‐docking (CC‐D) simulations. Link to the Article