Campus Units

Genetics, Development and Cell Biology, Bioinformatics and Computational Biology, Biochemistry, Biophysics and Molecular Biology, Computer Science

Document Type

Article

Publication Version

Published Version

Publication Date

2007

Journal or Book Title

Nucleic Acids Research

Volume

35

First Page

W578

Last Page

W584

DOI

10.1093/nar/gkm294

Abstract

Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that identifies and displays RNA-binding residues in known protein–RNA complexes and predicts RNA-binding residues in proteins of unknown structure. RNABindR uses a distance cutoff to identify which amino acids contact RNA in solved complex structures (from the Protein Data Bank) and provides a labeled amino acid sequence and a Jmol graphical viewer in which RNA-binding residues are displayed in the context of the three-dimensional structure. Alternatively, RNABindR can use a Naive Bayes classifier trained on a non-redundant set of protein–RNA complexes from the PDB to predict which amino acids in a protein sequence of unknown structure are most likely to bind RNA. RNABindR automatically displays ‘high specificity’ and ‘high sensitivity’ predictions of RNA-binding residues. RNABindR is freely available at http://bindr.gdcb.iastate.edu/RNABindR.

Comments

This article is from Nucleic Acids Research 35 (2007): W578, doi: 10.1093/nar/gkm294. Posted with permission.

Rights

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Copyright Owner

The Authors

Language

en

File Format

application/pdf