TITLE

Using dynamics-based comparisons to predict nucleic acid binding sites in proteins: an application to OB-fold domains

AUTHOR(S)
Andrea Zen; Cesira de Chiara; Annalisa Pastore; Cristian Micheletti
PUB. DATE
August 2009
SOURCE
Bioinformatics;Aug2009, Vol. 25 Issue 15, p1876
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Motivation: We have previously demonstrated that proteins may be aligned not only by sequence or structural homology, but also using their dynamical properties. Dynamics-based alignments are sensitive and powerful tools to compare even structurally dissimilar protein families. Here, we propose to use this method to predict protein regions involved in the binding of nucleic acids. We have used the OB-fold, a motif known to promote protein–nucleic acid interactions, to validate our approach. Results: We have tested the method using this well-characterized nucleic acid binding family. Protein regions consensually involved in statistically significant dynamics-based alignments were found to correlate with nucleic acid binding regions. The validated scheme was next used as a tool to predict which regions of the AXH-domain representatives (a sub-family of the OB-fold for which no DNA/RNA complex is yet available) are putatively involved in binding nucleic acids. The method, therefore, is a promising general approach for predicting functional regions in protein families on the basis of comparative large-scale dynamics. Availability: The software is available upon request from the authors, free of charge for academic users. Contact: michelet@sissa.it Supplementary information: Supplementary data are available at Bioinformatics online.
ACCESSION #
43423387

 

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