Journal
NUCLEIC ACIDS RESEARCH
Volume 35, Issue -, Pages W578-W584Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkm294
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Funding
- NIGMS NIH HHS [R33 GM066387-04, R33 GM066387, GM066387, R21 GM066387, R33 GM066387-03] Funding Source: Medline
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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.
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