Inter-residue, inter-protein and inter-family coevolution: bridging the scales

TL;DR

This paper discusses how coevolution at various biological scales can be analyzed using data-driven computational methods, enabling integrated insights into protein interactions and evolution.

Contribution

It introduces a unified statistical framework to study coevolution across multiple biological scales, connecting residue, protein, and family levels.

Findings

Enormous sequence data enables new computational approaches.

Potential for integrated structural and evolutionary insights.

Framework bridges multiple coevolutionary scales.

Abstract

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.