| Literature DB >> 26607710 |
Narankhuu Tuvshinjargal1, Wook Lee1, Byungkyu Park1, Kyungsook Han2.
Abstract
Several computational methods have been developed to predict RNA-binding sites in protein, but its inverse problem (i.e., predicting protein-binding sites in RNA) has received much less attention. Furthermore, most methods that predict RNA-binding sites in protein do not consider interaction partners of a protein. This paper presents a web server called PRIdictor (Protein-RNA Interaction predictor) which predicts mutual binding sites in RNA and protein at the nucleotide- and residue-level resolutions from their sequences. PRIdictor can be used as a web-based application or web service at http://bclab.inha.ac.kr/pridictor.Keywords: Prediction; Protein-binding ribonucleotide; RNA-binding amino acid; Support vector machine; Web server
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Year: 2015 PMID: 26607710 DOI: 10.1016/j.biosystems.2015.10.004
Source DB: PubMed Journal: Biosystems ISSN: 0303-2647 Impact factor: 1.973