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

arXiv comment12 pages, review paper

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Cited by in corpus (8)

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• Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families
• Size and structure of the sequence space of repeat proteins
• Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins
• Statistical physics of interacting proteins: impact of dataset size and quality assessed in synthetic sequences
• Correlated evolution: models and methods
• Shedding light on the dark matter of the biomolecular structural universe: Progress in RNA 3D structure prediction