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Bioinformatics. 2014 Sep 15;30(18):2681-3. doi: 10.1093/bioinformatics/btu336. Epub 2014 May 21.

Evol and ProDy for bridging protein sequence evolution and structural dynamics.

Author information

1
Department of Computational and Systems Biology, and Clinical & Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Abstract

Correlations between sequence evolution and structural dynamics are of utmost importance in understanding the molecular mechanisms of function and their evolution. We have integrated Evol, a new package for fast and efficient comparative analysis of evolutionary patterns and conformational dynamics, into ProDy, a computational toolbox designed for inferring protein dynamics from experimental and theoretical data. Using information-theoretic approaches, Evol coanalyzes conservation and coevolution profiles extracted from multiple sequence alignments of protein families with their inferred dynamics.

AVAILABILITY AND IMPLEMENTATION:

ProDy and Evol are open-source and freely available under MIT License from http://prody.csb.pitt.edu/.

PMID:
24849577
PMCID:
PMC4155247
DOI:
10.1093/bioinformatics/btu336
[Indexed for MEDLINE]
Free PMC Article

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