Skip to Main content Skip to Navigation
Journal articles

Inverse statistical physics of protein sequences: a key issues review

Abstract : In the course of evolution, proteins undergo important changes in their amino acid sequences, while their three-dimensional folded structure and their biological function remain remarkably conserved. Thanks to modern sequencing techniques, sequence data accumulate at unprecedented pace. This provides large sets of so-called homologous, i.e. evolutionarily related protein sequences, to which methods of inverse statistical physics can be applied. Using sequence data as the basis for the inference of Boltzmann distributions from samples of microscopic configurations or observables, it is possible to extract information about evolutionary constraints and thus protein function and structure. Here we give an overview over some biologically important questions, and how statistical-mechanics inspired modeling approaches can help to answer them. Finally, we discuss some open questions, which we expect to be addressed over the next years.
Document type :
Journal articles
Complete list of metadata
Contributor : Martin Weigt Connect in order to contact the contributor
Submitted on : Monday, July 18, 2022 - 2:59:01 PM
Last modification on : Friday, August 5, 2022 - 9:26:14 AM

Links full text



Simona Cocco, Christoph Feinauer, Matteo Figliuzzi, Rémi Monasson, Martin Weigt. Inverse statistical physics of protein sequences: a key issues review. Reports on Progress in Physics, 2018, 81, 165, p. 60-70. ⟨10.1088/1361-6633/aa9965⟩. ⟨insu-03726410⟩



Record views