Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores-Reference-Cited by-同舟云学术

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Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores

Published:2015-11-17 Issue:12 Volume:83 Page:2293-2306
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Parente Daniel J.¹,Ray J. Christian J.²,Swint-Kruse Liskin¹

Affiliation:

1. Department of Biochemistry and Molecular Biology; University of Kansas Medical Center; Kansas City Kansas 66160

2. Center for Computational Biology and Department of Molecular Biosciences; University of Kansas; Lawrence Kansas 66047

Funder

National Institutes of Health

University of Kansas Medical Center (Biomedical Research Training Program)

K-INBRE (Developmental Research Project award)

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Reference92 articles.

1. A family of evolution-entropy hybrid methods for ranking protein residues by importance;Mihalek;J Mol Biol,2004

2. An evolutionary trace method defines binding surfaces common to protein families;Lichtarge;J Mol Biol,1996

3. DIVERGE: phylogeny-based analysis for functional-structural divergence of a protein family;Gu;Bioinformatics,2002

4. Predicting deleterious amino acid substitutions;Ng;Genome Res,2001

5. ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information;Armon;J Mol Biol,2001

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