  Interacting proteins coevolve at multiple but interconnected scales, from the
residue-residue over the protein-protein up to the family-family level. The
recent accumulation of enormous amounts of sequence data allows for the
development of novel, data-driven computational approaches. Notably, these
approaches can bridge scales within a single statistical framework. While being
currently applied mostly to isolated problems on single scales, their immense
potential for an evolutionary informed, structural systems biology is steadily
emerging.
