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

Murakami, Yoichi, Spriggs, Ruth V, Nakamura, Haruki and Jones, Susan (2010) PiRaNhA: A server for the computational prediction of RNA-binding residues in protein sequences. Nucleic Acids Research, 38 (SUPP2). W412-W416. ISSN 03051048

PDF - Published Version
Download (8MB) | Preview


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. © The Author(s) 2010. Published by Oxford University Press.

Item Type: Article
Schools and Departments: School of Life Sciences > Biochemistry
Depositing User: Ruth Spriggs
Date Deposited: 06 Feb 2012 19:32
Last Modified: 02 Jul 2019 20:48
URI: http://sro.sussex.ac.uk/id/eprint/21120

View download statistics for this item

📧 Request an update