Literature DB >> 17937598

Understanding protein evolution: from protein physics to Darwinian selection.

Konstantin B Zeldovich1, Eugene I Shakhnovich.   

Abstract

Efforts in whole-genome sequencing and structural proteomics start to provide a global view of the protein universe, the set of existing protein structures and sequences. However, approaches based on the selection of individual sequences have not been entirely successful at the quantitative description of the distribution of structures and sequences in the protein universe because evolutionary pressure acts on the entire organism, rather than on a particular molecule. In parallel to this line of study, studies in population genetics and phenomenological molecular evolution established a mathematical framework to describe the changes in genome sequences in populations of organisms over time. Here, we review both microscopic (physics-based) and macroscopic (organism-level) models of protein-sequence evolution and demonstrate that bridging the two scales provides the most complete description of the protein universe starting from clearly defined, testable, and physiologically relevant assumptions.

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Year:  2008        PMID: 17937598     DOI: 10.1146/annurev.physchem.58.032806.104449

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  32 in total

1.  Overlapping genes produce proteins with unusual sequence properties and offer insight into de novo protein creation.

Authors:  Corinne Rancurel; Mahvash Khosravi; A Keith Dunker; Pedro R Romero; David Karlin
Journal:  J Virol       Date:  2009-07-29       Impact factor: 5.103

Review 2.  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

Review 3.  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

4.  Evolutionary trend toward kinetic stability in the folding trajectory of RNases H.

Authors:  Shion A Lim; Kathryn M Hart; Michael J Harms; Susan Marqusee
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-31       Impact factor: 11.205

5.  Hidden long evolutionary memory in a model biochemical network.

Authors:  Md Zulfikar Ali; Ned S Wingreen; Ranjan Mukhopadhyay
Journal:  Phys Rev E       Date:  2018-04       Impact factor: 2.529

6.  Escape from Adaptive Conflict follows from weak functional trade-offs and mutational robustness.

Authors:  Tobias Sikosek; Hue Sun Chan; Erich Bornberg-Bauer
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

7.  Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection.

Authors:  Faruck Morcos; Nicholas P Schafer; Ryan R Cheng; José N Onuchic; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-11       Impact factor: 11.205

8.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

9.  Interplay between pleiotropy and secondary selection determines rise and fall of mutators in stress response.

Authors:  Muyoung Heo; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2010-03-12       Impact factor: 4.475

10.  Trade-off between positive and negative design of protein stability: from lattice models to real proteins.

Authors:  Orly Noivirt-Brik; Amnon Horovitz; Ron Unger
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

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