Tuvshinjargal Narankhuu, Lee Wook, Park Byungkyu, Han Kyungsook
Department of Computer Science and Engineering, Inha University, Incheon, South Korea.
Department of Computer Science and Engineering, Inha University, Incheon, South Korea.
Biosystems. 2016 Jan;139:17-22. doi: 10.1016/j.biosystems.2015.10.004. Epub 2015 Dec 1.
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.
已经开发了几种计算方法来预测蛋白质中的RNA结合位点,但其逆问题(即预测RNA中的蛋白质结合位点)受到的关注要少得多。此外,大多数预测蛋白质中RNA结合位点的方法都没有考虑蛋白质的相互作用伙伴。本文介绍了一个名为PRIdictor(蛋白质-RNA相互作用预测器)的网络服务器,它可以从RNA和蛋白质的序列中预测核苷酸和残基水平分辨率下的相互结合位点。PRIdictor可以作为基于网络的应用程序或网络服务使用,网址为http://bclab.inha.ac.kr/pridictor。