Literature DB >> 22454236

Evolutionary information hidden in a single protein structure.

Chien-Hua Shih1, Chih-Min Chang, Yeong-Shin Lin, Wei-Cheng Lo, Jenn-Kang Hwang.   

Abstract

The knowledge of conserved sequences in proteins is valuable in identifying functionally or structurally important residues. Generating the conservation profile of a sequence requires aligning families of homologous sequences and having knowledge of their evolutionary relationships. Here, we report that the conservation profile at the residue level can be quantitatively derived from a single protein structure with only backbone information. We found that the reciprocal packing density profiles of protein structures closely resemble their sequence conservation profiles. For a set of 554 nonhomologous enzymes, 74% (408/554) of the proteins have a correlation coefficient > 0.5 between these two profiles. Our results indicate that the three-dimensional structure, instead of being a mere scaffold for positioning amino acid residues, exerts such strong evolutionary constraints on the residues of the protein that its profile of sequence conservation essentially reflects that of its structural characteristics.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22454236     DOI: 10.1002/prot.24058

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  20 in total

1.  (PS)2: protein structure prediction server version 3.0.

Authors:  Tsun-Tsao Huang; Jenn-Kang Hwang; Chu-Huang Chen; Chih-Sheng Chu; Chi-Wen Lee; Chih-Chieh Chen
Journal:  Nucleic Acids Res       Date:  2015-05-05       Impact factor: 16.971

2.  CryptoSite: Expanding the Druggable Proteome by Characterization and Prediction of Cryptic Binding Sites.

Authors:  Peter Cimermancic; Patrick Weinkam; T Justin Rettenmaier; Leon Bichmann; Daniel A Keedy; Rahel A Woldeyes; Dina Schneidman-Duhovny; Omar N Demerdash; Julie C Mitchell; James A Wells; James S Fraser; Andrej Sali
Journal:  J Mol Biol       Date:  2016-02-05       Impact factor: 5.469

3.  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

4.  Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design.

Authors:  Amir Shahmoradi; Dariya K Sydykova; Stephanie J Spielman; Eleisha L Jackson; Eric T Dawson; Austin G Meyer; Claus O Wilke
Journal:  J Mol Evol       Date:  2014-09-13       Impact factor: 2.395

Review 5.  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

Review 6.  Consequences of genomic diversity in Mycobacterium tuberculosis.

Authors:  Mireia Coscolla; Sebastien Gagneux
Journal:  Semin Immunol       Date:  2014-10-22       Impact factor: 11.130

7.  The structure-based cancer-related single amino acid variation prediction.

Authors:  Jia-Jun Liu; Chin-Sheng Yu; Hsiao-Wei Wu; Yu-Jen Chang; Chih-Peng Lin; Chih-Hao Lu
Journal:  Sci Rep       Date:  2021-06-30       Impact factor: 4.379

8.  Sequence Conservation, Radial Distance and Packing Density in Spherical Viral Capsids.

Authors:  Chih-Min Chang; Yu-Wen Huang; Chi-Wen Lee; Tsun-Tsao Huang; Chung-Shiuan Shih; Jenn-Kang Hwang
Journal:  PLoS One       Date:  2015-07-01       Impact factor: 3.240

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.  Accurate prediction of protein catalytic residues by side chain orientation and residue contact density.

Authors:  Yu-Tung Chien; Shao-Wei Huang
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

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