Literature DB >> 20614111

Understanding the effect of secondary structures and aggregation on human protein folding class evolution.

Tina Begum1, Tapash Chandra Ghosh.   

Abstract

Using several model organisms it has been shown earlier that protein designability is related to contact density or fraction of buried residues and influence protein evolutionary rates dramatically. Here, using Homo sapiens as a model organism, we have analyzed two main folding classes (all-alpha and all-beta) to examine the factors affecting their evolutionary rates. Since, secondary structures are the most fundamental components of the protein folding classes, we explored the effect of protein secondary structure composition on evolution. Our results show that sheet and helix fractions exhibit positive and negative correlations, respectively, with the rate of protein evolution. On dividing the secondary structure components according to solvent accessibility, linear regression model identified two factors namely buried sheet fraction and relative aggregation propensity. Both these factors together can explain about 13.4% variability in the rate of human protein evolution, while buried sheet residues can alone account to 9.9% variability.

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Year:  2010        PMID: 20614111     DOI: 10.1007/s00239-010-9364-9

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  65 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Combining hydrophobicity and helicity: a novel approach to membrane protein structure prediction.

Authors:  L P Liu; C M Deber
Journal:  Bioorg Med Chem       Date:  1999-01       Impact factor: 3.641

3.  Highly expressed genes in yeast evolve slowly.

Authors:  C Pál; B Papp; L D Hurst
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

4.  Protein dispensability and rate of evolution.

Authors:  A E Hirsh; H B Fraser
Journal:  Nature       Date:  2001-06-28       Impact factor: 49.962

5.  Understanding hierarchical protein evolution from first principles.

Authors:  N V Dokholyan; E I Shakhnovich
Journal:  J Mol Biol       Date:  2001-09-07       Impact factor: 5.469

6.  Designability of protein structures: a lattice-model study using the Miyazawa-Jernigan matrix.

Authors:  Hao Li; Chao Tang; Ned S Wingreen
Journal:  Proteins       Date:  2002-11-15

7.  Protein evolution within a structural space.

Authors:  Eric J Deeds; Nikolay V Dokholyan; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

8.  Contact order, transition state placement and the refolding rates of single domain proteins.

Authors:  K W Plaxco; K T Simons; D Baker
Journal:  J Mol Biol       Date:  1998-04-10       Impact factor: 5.469

9.  Are protein folds atypical?

Authors:  H Li; C Tang; N S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-28       Impact factor: 11.205

10.  Exploring the evolutionary rate differences of party hub and date hub proteins in Saccharomyces cerevisiae protein-protein interaction network.

Authors:  Bratati Kahali; Shandar Ahmad; Tapash Chandra Ghosh
Journal:  Gene       Date:  2008-10-10       Impact factor: 3.688

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  4 in total

1.  Insights into the evolutionary features of human neurodegenerative diseases.

Authors:  Arup Panda; Tina Begum; Tapash Chandra Ghosh
Journal:  PLoS One       Date:  2012-10-30       Impact factor: 3.240

2.  Systematic Analyses and Prediction of Human Drug Side Effect Associated Proteins from the Perspective of Protein Evolution.

Authors:  Tina Begum; Tapash Chandra Ghosh; Surajit Basak
Journal:  Genome Biol Evol       Date:  2017-02-01       Impact factor: 3.416

3.  Elucidating the genotype-phenotype relationships and network perturbations of human shared and specific disease genes from an evolutionary perspective.

Authors:  Tina Begum; Tapash Chandra Ghosh
Journal:  Genome Biol Evol       Date:  2014-10-05       Impact factor: 3.416

4.  Global analysis of human duplicated genes reveals the relative importance of whole-genome duplicates originated in the early vertebrate evolution.

Authors:  Debarun Acharya; Tapash C Ghosh
Journal:  BMC Genomics       Date:  2016-01-22       Impact factor: 3.969

  4 in total

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