title: PRIdictor: Protein-RNA Interaction predictor.
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.
authors.affiliation: Department of Computer Science and Engineering, Inha University, Incheon, South Korea.
authors.forename: Narankhuu
authors.initials: N
authors.lastname: Tuvshinjargal
authors.affiliation: Department of Computer Science and Engineering, Inha University, Incheon, South Korea.
authors.forename: Wook
authors.initials: W
authors.lastname: Lee
authors.affiliation: Department of Computer Science and Engineering, Inha University, Incheon, South Korea.
authors.forename: Byungkyu
authors.initials: B
authors.lastname: Park
authors.affiliation: Department of Computer Science and Engineering, Inha University, Incheon, South Korea. Electronic address: khan@inha.ac.kr.
authors.forename: Kyungsook
authors.initials: K
authors.lastname: Han
mesh_terms: D000596:Amino Acids / Q000378:metabolism*; D001665:Binding Sites; D019295:Computational Biology; D011506:Proteins / Q000378:metabolism*; D012313:RNA / Q000378:metabolism*; D012265:Ribonucleotides / Q000378:metabolism*; D060388:Support Vector Machine
chemical_list: D000596:Amino Acids; D011506:Proteins; D012265:Ribonucleotides; D012313:RNA
keywords: Prediction; Protein-binding ribonucleotide; RNA-binding amino acid; Support vector machine; Web server