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CAPS: coevolution analysis using protein sequences.

Mario A Fares1, David McNally

  • 1Evolutionary Genetics and Bioinformatics Laboratory, Department of Genetics Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin 2, Dublin, Ireland. faresm@tcd.ie

Bioinformatics (Oxford, England)
|September 29, 2006
PubMed
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Coevolution Analysis using Protein Sequences (CAPS) software identifies co-evolving amino acid sites by analyzing protein sequences and structures. It corrects for phylogenetic dependencies to reveal functional relationships between sites.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Evolution

Background:

  • Coevolution Analysis using Protein Sequences (CAPS) is a software tool for analyzing protein sequence data.
  • Version 1 of CAPS is publicly available for multiple operating systems.

Purpose of the Study:

  • To identify co-evolution between amino acid sites in protein sequences.
  • To analyze the nature of dependencies between co-evolving sites using 3D protein structure.

Main Methods:

  • Utilizes PERL-based software for co-evolutionary analysis.
  • Employs Blosum-corrected amino acid distances to detect co-variation.
  • Incorporates phylogenetic sequence relationships to account for evolutionary dependencies.
  • Integrates 3D protein structure data to understand site interactions.

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Main Results:

  • Identifies co-evolving amino acid sites within protein sequences.
  • Distinguishes co-variation from phylogenetic and stochastic effects.
  • Characterizes the nature of dependencies between co-evolving sites.
  • Generates user-friendly output files for interpretation.

Conclusions:

  • CAPS provides a robust method for detecting and analyzing co-evolving amino acid sites.
  • The software aids in understanding functional relationships and constraints in protein evolution.
  • Integration of sequence and structural data enhances the accuracy of co-evolutionary analysis.