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Nucleic Acids Res. 2010 Jul;38(Web Server issue):W412-6. doi: 10.1093/nar/gkq474. Epub 2010 May 27.

PiRaNhA: a server for the computational prediction of RNA-binding residues in protein sequences.

Author information

1
Laboratory of Protein Informatics, Research Center for Structural and Functional Proteomics, Institute for Protein Research, Osaka University, Osaka, Japan.

Abstract

The PiRaNhA web server is a publicly available online resource that automatically predicts the location of RNA-binding residues (RBRs) in protein sequences. The goal of functional annotation of sequences in the field of RNA binding is to provide predictions of high accuracy that require only small numbers of targeted mutations for verification. The PiRaNhA server uses a support vector machine (SVM), with position-specific scoring matrices, residue interface propensity, predicted residue accessibility and residue hydrophobicity as features. The server allows the submission of up to 10 protein sequences, and the predictions for each sequence are provided on a web page and via email. The prediction results are provided in sequence format with predicted RBRs highlighted, in text format with the SVM threshold score indicated and as a graph which enables users to quickly identify those residues above any specific SVM threshold. The graph effectively enables the increase or decrease of the false positive rate. When tested on a non-redundant data set of 42 protein sequences not used in training, the PiRaNhA server achieved an accuracy of 85%, specificity of 90% and a Matthews correlation coefficient of 0.41 and outperformed other publicly available servers. The PiRaNhA prediction server is freely available at http://www.bioinformatics.sussex.ac.uk/PIRANHA.

PMID:
20507911
PMCID:
PMC2896099
DOI:
10.1093/nar/gkq474
[Indexed for MEDLINE]
Free PMC Article

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