Details

Autor(en) / Beteiligte

• Cocco, Simona
• Feinauer, Christoph
• Figliuzzi, Matteo
• Monasson, Rémi
• Weigt, Martin

Titel

Inverse statistical physics of protein sequences: a key issues review

Ist Teil von

• Reports on progress in physics, 2018-03, Vol.81 (3), p.032601-032601

Ort / Verlag

England: IOP Publishing

Erscheinungsjahr

2018

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.