Literature DB >> 19233963

Solvent exposure imparts similar selective pressures across a range of yeast proteins.

Gavin C Conant1, Peter F Stadler.   

Abstract

We study how an amino acid residue's solvent exposure influences its propensity for substitution by analyzing multiple alignments of 61 yeast genes for which the crystal structure is known. We find that the selective constraint on the interior residues is on average 10 times that of residues on the surface. Surprisingly, there is no correlation between the overall selective constraint observed for a protein alignment and the ratio of constraints on interior and surface residues. By modeling the selective constraint on several amino acid properties, we show that although residue volume and hydropathy are strongly conserved across most alignments, there is little variation in interior versus surface conservation for these two properties. By contrast, residue charge (isoelectric point) is less generally conserved when considering the protein as a whole but shows a strong constraint against the introduction of charged residues into the protein interior.

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Year:  2009        PMID: 19233963     DOI: 10.1093/molbev/msp031

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  30 in total

1.  Thermodynamic stability explains the differential evolutionary dynamics of cytochrome b and COX I in mammals.

Authors:  Juan Carlos Aledo; Héctor Valverde; Manuel Ruíz-Camacho
Journal:  J Mol Evol       Date:  2012-02-24       Impact factor: 2.395

2.  The relationship between relative solvent accessibility and evolutionary rate in protein evolution.

Authors:  Duncan C Ramsey; Michael P Scherrer; Tong Zhou; Claus O Wilke
Journal:  Genetics       Date:  2011-04-05       Impact factor: 4.562

Review 3.  Statistics and truth in phylogenomics.

Authors:  Sudhir Kumar; Alan J Filipski; Fabia U Battistuzzi; Sergei L Kosakovsky Pond; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2011-08-26       Impact factor: 16.240

Review 4.  Three independent determinants of protein evolutionary rate.

Authors:  Sun Shim Choi; Sridhar Hannenhalli
Journal:  J Mol Evol       Date:  2013-02-12       Impact factor: 2.395

5.  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

6.  Integrating sequence variation and protein structure to identify sites under selection.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2012-09-12       Impact factor: 16.240

7.  Amino-acid site variability among natural and designed proteins.

Authors:  Eleisha L Jackson; Noah Ollikainen; Arthur W Covert; Tanja Kortemme; Claus O Wilke
Journal:  PeerJ       Date:  2013-11-12       Impact factor: 2.984

8.  CodonTest: modeling amino acid substitution preferences in coding sequences.

Authors:  Wayne Delport; Konrad Scheffler; Gordon Botha; Mike B Gravenor; Spencer V Muse; Sergei L Kosakovsky Pond
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

Review 9.  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

10.  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
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