Literature DB >> 25787027

Relationship between protein thermodynamic constraints and variation of evolutionary rates among sites.

Julian Echave1, Eleisha L Jackson, Claus O Wilke.   

Abstract

Evolutionary-rate variation among sites within proteins depends on functional and biophysical properties that constrain protein evolution. It is generally accepted that proteins must be able to fold stably in order to function. However, the relationship between stability constraints and among-sites rate variation is not well understood. Here, we present a biophysical model that links the thermodynamic stability changes due to mutations at sites in proteins ([Formula: see text]) to the rate at which mutations accumulate at those sites over evolutionary time. We find that such a 'stability model' generally performs well, displaying correlations between predicted and empirically observed rates of up to 0.75 for some proteins. We further find that our model has comparable predictive power as does an alternative, recently proposed 'stress model' that explains evolutionary-rate variation among sites in terms of the excess energy needed for mutants to adopt the correct active structure ([Formula: see text]). The two models make distinct predictions, though, and for some proteins the stability model outperforms the stress model and vice versa. We conclude that both stability and stress constrain site-specific sequence evolution in proteins.

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Year:  2015        PMID: 25787027      PMCID: PMC4391963          DOI: 10.1088/1478-3975/12/2/025002

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  49 in total

1.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

Authors:  Raphael Guerois; Jens Erik Nielsen; Luis Serrano
Journal:  J Mol Biol       Date:  2002-07-05       Impact factor: 5.469

2.  Protein sequence entropy is closely related to packing density and hydrophobicity.

Authors:  H Liao; W Yeh; D Chiang; R L Jernigan; B Lustig
Journal:  Protein Eng Des Sel       Date:  2005-03-23       Impact factor: 1.650

3.  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

4.  Deriving protein dynamical properties from weighted protein contact number.

Authors:  Chih-Peng Lin; Shao-Wei Huang; Yan-Long Lai; Shih-Chung Yen; Chien-Hua Shih; Chih-Hao Lu; Cuen-Chao Huang; Jenn-Kang Hwang
Journal:  Proteins       Date:  2008-08-15

Review 5.  Structural and functional constraints in the evolution of protein families.

Authors:  Catherine L Worth; Sungsam Gong; Tom L Blundell
Journal:  Nat Rev Mol Cell Biol       Date:  2009-09-16       Impact factor: 94.444

6.  Structural determinants of protein evolution are context-sensitive at the residue level.

Authors:  Eric A Franzosa; Yu Xia
Journal:  Mol Biol Evol       Date:  2009-07-13       Impact factor: 16.240

7.  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

8.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

9.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

10.  Local packing density is the main structural determinant of the rate of protein sequence evolution at site level.

Authors:  So-Wei Yeh; Tsun-Tsao Huang; Jen-Wei Liu; Sung-Huan Yu; Chien-Hua Shih; Jenn-Kang Hwang; Julian Echave
Journal:  Biomed Res Int       Date:  2014-07-09       Impact factor: 3.411

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  22 in total

1.  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

2.  The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteins.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

3.  Universal distribution of mutational effects on protein stability, uncoupling of protein robustness from sequence evolution and distinct evolutionary modes of prokaryotic and eukaryotic proteins.

Authors:  Guilhem Faure; Eugene V Koonin
Journal:  Phys Biol       Date:  2015-04-30       Impact factor: 2.583

4.  Evolutionary coupling range varies widely among enzymes depending on selection pressure.

Authors:  Julian Echave
Journal:  Biophys J       Date:  2021-09-02       Impact factor: 3.699

5.  Intermediate divergence levels maximize the strength of structure-sequence correlations in enzymes and viral proteins.

Authors:  Eleisha L Jackson; Amir Shahmoradi; Stephanie J Spielman; Benjamin R Jack; Claus O Wilke
Journal:  Protein Sci       Date:  2016-03-24       Impact factor: 6.725

Review 6.  Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.

Authors:  Julian Echave; Claus O Wilke
Journal:  Annu Rev Biophys       Date:  2017-03-15       Impact factor: 12.981

Review 7.  Causes of evolutionary rate variation among protein sites.

Authors:  Julian Echave; Stephanie J Spielman; Claus O Wilke
Journal:  Nat Rev Genet       Date:  2016-01-19       Impact factor: 53.242

8.  Geometric Constraints Dominate the Antigenic Evolution of Influenza H3N2 Hemagglutinin.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  PLoS Pathog       Date:  2015-05-28       Impact factor: 6.823

9.  Dissecting the roles of local packing density and longer-range effects in protein sequence evolution.

Authors:  Amir Shahmoradi; Claus O Wilke
Journal:  Proteins       Date:  2016-04-09

10.  Prediction and Evolution of the Molecular Fitness of SARS-CoV-2 Variants: Introducing SpikePro.

Authors:  Fabrizio Pucci; Marianne Rooman
Journal:  Viruses       Date:  2021-05-18       Impact factor: 5.048

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