Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins.

Predicting protein-protein interactions from sequences is an important goal of computational biology. Various sources of information can be used to this end. Starting from the sequences of two interacting protein families, one can use phylogeny or residue coevolution to infer which paralogs are specific interaction partners within each species.

Statistical physics of interacting proteins: Impact of dataset size and quality assessed in synthetic sequences.

Identifying protein-protein interactions is crucial for a systems-level understanding of the cell. Recently, algorithms based on inverse statistical physics, e.g.