PRNA: Prediction of protein-RNA binding sites by a random forest method with combined features

• Last updated: May 13, 2010

Introduction#

Welcome to our website! This is a webpage for our paper "Prediction of protein-RNA binding sites by a random forest method with combined features". In the paper, we proposed a novel random forest (RF) method to predict RNA binding sites in proteins by integrated features, including mutual interaction propensity between protein residues and their partner RNA nucleotide. The sequence derived features and structure derived features are also combined together with mutual interaction propensity to build a classifier. You can find the source data, code and supplementary materials which referred in the paper. Pay attention to the users: You can use and redistribute the data and code if you accept GNU General Public License (GPL).

Reference#

• Liu ZP, Wu LY, Wang Y, Zhang XS, and Chen L. Prediction of protein-RNA binding sites by a random forest method with combined features. Bioinformatics 26(13):1616-1622.

Data and Code#

• PRNA.rar