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
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp339
Subject(s) - nucleic acid , computational biology , dna , nucleic acid structure , biology , rna , computer science , genetics , gene
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.
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