Literature DB >> 25974524

Evolution of sparsity and modularity in a model of protein allostery.

Mathieu Hemery1,2,3, Olivier Rivoire2,3.   

Abstract

The sequence of a protein is not only constrained by its physical and biochemical properties under current selection, but also by features of its past evolutionary history. Understanding the extent and the form that these evolutionary constraints may take is important to interpret the information in protein sequences. To study this problem, we introduce a simple but physical model of protein evolution where selection targets allostery, the functional coupling of distal sites on protein surfaces. This model shows how the geometrical organization of couplings between amino acids within a protein structure can depend crucially on its evolutionary history. In particular, two scenarios are found to generate a spatial concentration of functional constraints: high mutation rates and fluctuating selective pressures. This second scenario offers a plausible explanation for the high tolerance of natural proteins to mutations and for the spatial organization of their least tolerant amino acids, as revealed by sequence analysis and mutagenesis experiments. It also implies a faculty to adapt to new selective pressures that is consistent with observations. The model illustrates how several independent functional modules may emerge within the same protein structure, depending on the nature of past environmental fluctuations. Our model thus relates the evolutionary history of proteins to the geometry of their functional constraints, with implications for decoding and engineering protein sequences.

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Year:  2015        PMID: 25974524     DOI: 10.1103/PhysRevE.91.042704

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Architecture and coevolution of allosteric materials.

Authors:  Le Yan; Riccardo Ravasio; Carolina Brito; Matthieu Wyart
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-21       Impact factor: 11.205

2.  Principles for Optimal Cooperativity in Allosteric Materials.

Authors:  Le Yan; Riccardo Ravasio; Carolina Brito; Matthieu Wyart
Journal:  Biophys J       Date:  2018-06-19       Impact factor: 4.033

3.  Tuning environmental timescales to evolve and maintain generalists.

Authors:  Vedant Sachdeva; Kabir Husain; Jiming Sheng; Shenshen Wang; Arvind Murugan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-26       Impact factor: 11.205

4.  Mechanics of Allostery: Contrasting the Induced Fit and Population Shift Scenarios.

Authors:  Riccardo Ravasio; Solange Marie Flatt; Le Yan; Stefano Zamuner; Carolina Brito; Matthieu Wyart
Journal:  Biophys J       Date:  2019-10-09       Impact factor: 4.033

5.  Episodic evolution of coadapted sets of amino acid sites in mitochondrial proteins.

Authors:  Alexey D Neverov; Anfisa V Popova; Gennady G Fedonin; Evgeny A Cheremukhin; Galya V Klink; Georgii A Bazykin
Journal:  PLoS Genet       Date:  2021-01-25       Impact factor: 5.917

6.  Green function of correlated genes in a minimal mechanical model of protein evolution.

Authors:  Sandipan Dutta; Jean-Pierre Eckmann; Albert Libchaber; Tsvi Tlusty
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-30       Impact factor: 11.205

7.  Evolving generalists in switching rugged landscapes.

Authors:  Shenshen Wang; Lei Dai
Journal:  PLoS Comput Biol       Date:  2019-10-01       Impact factor: 4.475

8.  Parameters and determinants of responses to selection in antibody libraries.

Authors:  Steven Schulz; Sébastien Boyer; Matteo Smerlak; Simona Cocco; Rémi Monasson; Clément Nizak; Olivier Rivoire
Journal:  PLoS Comput Biol       Date:  2021-03-25       Impact factor: 4.475

9.  The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database.

Authors:  Qian-Yuan Tang; Weitong Ren; Jun Wang; Kunihiko Kaneko
Journal:  Mol Biol Evol       Date:  2022-10-07       Impact factor: 8.800

10.  Direct coupling analysis of epistasis in allosteric materials.

Authors:  Barbara Bravi; Riccardo Ravasio; Carolina Brito; Matthieu Wyart
Journal:  PLoS Comput Biol       Date:  2020-03-02       Impact factor: 4.475

  10 in total

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