Literature DB >> 23442924

Highly abundant proteins favor more stable 3D structures in yeast.

Adrian W R Serohijos, S Y Ryan Lee, Eugene I Shakhnovich.   

Abstract

To understand the variation of protein sequences in nature, we need to reckon with evolutionary constraints that are biophysical, cellular, and ecological. Here, we show that under the global selection against protein misfolding, there exists a scaling among protein folding stability, protein cellular abundance, and effective population size. The specific scaling implies that the several-orders-of-magnitude range of protein abundances in the cell should leave imprints on extant protein structures, a prediction that is supported by our structural analysis of the yeast proteome.
Copyright © 2013 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23442924      PMCID: PMC3566449          DOI: 10.1016/j.bpj.2012.11.3838

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  19 in total

1.  Estimating synonymous and nonsynonymous substitution rates under realistic evolutionary models.

Authors:  Z Yang; R Nielsen
Journal:  Mol Biol Evol       Date:  2000-01       Impact factor: 16.240

2.  Misfolded proteins impose a dosage-dependent fitness cost and trigger a cytosolic unfolded protein response in yeast.

Authors:  Kerry A Geiler-Samerotte; Michael F Dion; Bogdan A Budnik; Stephanie M Wang; Daniel L Hartl; D Allan Drummond
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

3.  Do viral proteins possess unique biophysical features?

Authors:  Nobuhiko Tokuriki; Christopher J Oldfield; Vladimir N Uversky; Igor N Berezovsky; Dan S Tawfik
Journal:  Trends Biochem Sci       Date:  2008-12-04       Impact factor: 13.807

4.  A biophysical protein folding model accounts for most mutational fitness effects in viruses.

Authors:  C Scott Wylie; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-24       Impact factor: 11.205

5.  Protein biophysics explains why highly abundant proteins evolve slowly.

Authors:  Adrian W R Serohijos; Zilvinas Rimas; Eugene I Shakhnovich
Journal:  Cell Rep       Date:  2012-08-02       Impact factor: 9.423

6.  Cellular proteomes have broad distributions of protein stability.

Authors:  Kingshuk Ghosh; Ken Dill
Journal:  Biophys J       Date:  2010-12-15       Impact factor: 4.033

7.  An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes.

Authors:  Tanja Kortemme; Alexandre V Morozov; David Baker
Journal:  J Mol Biol       Date:  2003-02-28       Impact factor: 5.469

8.  Impact of translational error-induced and error-free misfolding on the rate of protein evolution.

Authors:  Jian-Rong Yang; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Mol Syst Biol       Date:  2010-10-19       Impact factor: 11.429

9.  The population genetics of dN/dS.

Authors:  Sergey Kryazhimskiy; Joshua B Plotkin
Journal:  PLoS Genet       Date:  2008-12-12       Impact factor: 5.917

10.  Inherent toxicity of aggregates implies a common mechanism for protein misfolding diseases.

Authors:  Monica Bucciantini; Elisa Giannoni; Fabrizio Chiti; Fabiana Baroni; Lucia Formigli; Jesús Zurdo; Niccolò Taddei; Giampietro Ramponi; Christopher M Dobson; Massimo Stefani
Journal:  Nature       Date:  2002-04-04       Impact factor: 49.962

View more
  17 in total

Review 1.  Merging molecular mechanism and evolution: theory and computation at the interface of biophysics and evolutionary population genetics.

Authors:  Adrian W R Serohijos; Eugene I Shakhnovich
Journal:  Curr Opin Struct Biol       Date:  2014-06-19       Impact factor: 6.809

2.  Protein Melting Temperature Cannot Fully Assess Whether Protein Folding Free Energy Underlies the Universal Abundance-Evolutionary Rate Correlation Seen in Proteins.

Authors:  Rostam M Razban
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

3.  The Role of Evolutionary Selection in the Dynamics of Protein Structure Evolution.

Authors:  Amy I Gilson; Ahmee Marshall-Christensen; Jeong-Mo Choi; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2017-04-11       Impact factor: 4.033

4.  Optimization of lag phase shapes the evolution of a bacterial enzyme.

Authors:  Bharat V Adkar; Michael Manhart; Sanchari Bhattacharyya; Jian Tian; Michael Musharbash; Eugene I Shakhnovich
Journal:  Nat Ecol Evol       Date:  2017-04-28       Impact factor: 15.460

Review 5.  Bridging the physical scales in evolutionary biology: from protein sequence space to fitness of organisms and populations.

Authors:  Shimon Bershtein; Adrian Wr Serohijos; Eugene I Shakhnovich
Journal:  Curr Opin Struct Biol       Date:  2016-10-31       Impact factor: 6.809

6.  Low protein expression enhances phenotypic evolvability by intensifying selection on folding stability.

Authors:  Shraddha Karve; Pouria Dasmeh; Jia Zheng; Andreas Wagner
Journal:  Nat Ecol Evol       Date:  2022-07-07       Impact factor: 19.100

Review 7.  How Do Cells Adapt? Stories Told in Landscapes.

Authors:  Luca Agozzino; Gábor Balázsi; Jin Wang; Ken A Dill
Journal:  Annu Rev Chem Biomol Eng       Date:  2020-06-07       Impact factor: 11.059

Review 8.  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

9.  Contribution of selection for protein folding stability in shaping the patterns of polymorphisms in coding regions.

Authors:  Adrian W R Serohijos; Eugene I Shakhnovich
Journal:  Mol Biol Evol       Date:  2013-10-11       Impact factor: 16.240

10.  A model of proteostatic energy cost and its use in analysis of proteome trends and sequence evolution.

Authors:  Kasper P Kepp; Pouria Dasmeh
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.