Literature DB >> 28301766

Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.

Julian Echave1,2, Claus O Wilke3.   

Abstract

For decades, rates of protein evolution have been interpreted in terms of the vague concept of functional importance. Slowly evolving proteins or sites within proteins were assumed to be more functionally important and thus subject to stronger selection pressure. More recently, biophysical models of protein evolution, which combine evolutionary theory with protein biophysics, have completely revolutionized our view of the forces that shape sequence divergence. Slowly evolving proteins have been found to evolve slowly because of selection against toxic misfolding and misinteractions, linking their rate of evolution primarily to their abundance. Similarly, most slowly evolving sites in proteins are not directly involved in function, but mutating these sites has a large impact on protein structure and stability. In this article, we review the studies in the emerging field of biophysical protein evolution that have shaped our current understanding of sequence divergence patterns. We also propose future research directions to develop this nascent field.

Entities:  

Keywords:  evolutionary rate; fitness landscape; protein folding; protein misfolding; protein–protein interaction

Mesh:

Substances:

Year:  2017        PMID: 28301766      PMCID: PMC5800964          DOI: 10.1146/annurev-biophys-070816-033819

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  89 in total

1.  Thermodynamic prediction of protein neutrality.

Authors:  Jesse D Bloom; Jonathan J Silberg; Claus O Wilke; D Allan Drummond; Christoph Adami; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

2.  Quantifying the impact of protein tertiary structure on molecular evolution.

Authors:  Sang Chul Choi; Asger Hobolth; Douglas M Robinson; Hirohisa Kishino; Jeffrey L Thorne
Journal:  Mol Biol Evol       Date:  2007-05-23       Impact factor: 16.240

3.  A strategy for detecting the conservation of folding-nucleus residues in protein superfamilies.

Authors:  S W Michnick; E Shakhnovich
Journal:  Fold Des       Date:  1998

4.  Correlation between the conformation space and the sequence space of Peptide chain.

Authors:  T N Sasaki; M Sasai
Journal:  J Biol Phys       Date:  2002-09       Impact factor: 1.365

5.  Prediction of water and metal binding sites and their affinities by using the Fold-X force field.

Authors:  Joost W H Schymkowitz; Frederic Rousseau; Ivo C Martins; Jesper Ferkinghoff-Borg; Francois Stricher; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-08       Impact factor: 11.205

Review 6.  Determinants of the rate of protein sequence evolution.

Authors:  Jianzhi Zhang; Jian-Rong Yang
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

7.  Expression level, evolutionary rate, and the cost of expression.

Authors:  Joshua L Cherry
Journal:  Genome Biol Evol       Date:  2010-09-30       Impact factor: 3.416

8.  Emergence of protein fold families through rational design.

Authors:  Feng Ding; Nikolay V Dokholyan
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

9.  Constraints imposed by non-functional protein-protein interactions on gene expression and proteome size.

Authors:  Jingshan Zhang; Sergei Maslov; Eugene I Shakhnovich
Journal:  Mol Syst Biol       Date:  2008-08-05       Impact factor: 11.429

10.  Site-Specific Amino Acid Preferences Are Mostly Conserved in Two Closely Related Protein Homologs.

Authors:  Michael B Doud; Orr Ashenberg; Jesse D Bloom
Journal:  Mol Biol Evol       Date:  2015-07-29       Impact factor: 16.240

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  43 in total

1.  Estimating the Influence of Physicochemical and Biochemical Property Indexes on Selection for Amino Acids Usage in Eukaryotic Cells.

Authors:  Giovani B Fogalli; Sergio R P Line
Journal:  J Mol Evol       Date:  2021-03-24       Impact factor: 2.395

2.  Quantifying the Mutational Robustness of Protein-Coding Genes.

Authors:  Evandro Ferrada
Journal:  J Mol Evol       Date:  2021-05-02       Impact factor: 2.395

3.  Biophysical Inference of Epistasis and the Effects of Mutations on Protein Stability and Function.

Authors:  Jakub Otwinowski
Journal:  Mol Biol Evol       Date:  2018-10-01       Impact factor: 16.240

4.  A new parameter-rich structure-aware mechanistic model for amino acid substitution during evolution.

Authors:  Peter B Chi; Dohyup Kim; Jason K Lai; Nadia Bykova; Claudia C Weber; Jan Kubelka; David A Liberles
Journal:  Proteins       Date:  2017-12-12

5.  Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations.

Authors:  Manasi A Pethe; Aliza B Rubenstein; Sagar D Khare
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-26       Impact factor: 11.205

6.  Site-Specific Amino Acid Distributions Follow a Universal Shape.

Authors:  Mackenzie M Johnson; Claus O Wilke
Journal:  J Mol Evol       Date:  2020-11-24       Impact factor: 2.395

7.  Beyond Thermodynamic Constraints: Evolutionary Sampling Generates Realistic Protein Sequence Variation.

Authors:  Qian Jiang; Ashley I Teufel; Eleisha L Jackson; Claus O Wilke
Journal:  Genetics       Date:  2018-01-30       Impact factor: 4.562

8.  mtProtEvol: the resource presenting molecular evolution analysis of proteins involved in the function of Vertebrate mitochondria.

Authors:  Anastasia A Kuzminkova; Anastasia D Sokol; Kristina E Ushakova; Konstantin Yu Popadin; Konstantin V Gunbin
Journal:  BMC Evol Biol       Date:  2019-02-26       Impact factor: 3.260

9.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

10.  Measuring evolutionary rates of proteins in a structural context.

Authors:  Dariya K Sydykova; Benjamin R Jack; Stephanie J Spielman; Claus O Wilke
Journal:  F1000Res       Date:  2017-10-16
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