Predicting protein-binding RNA nucleotides with consideration of binding partners. Issue 1 (June 2015)

• Record Type: Journal Article
• Authors: Tuvshinjargal, Narankhuu; Lee, Wook; Park, Byungkyu; Han, Kyungsook
• Is Part Of: Computer methods and programs in biomedicine. Volume 120:Issue 1(2015)
• Page Start: 3
• Page End: 15
• Publication Date: 2015-06
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.03.010
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title id="sect0005">Highlights</title> <p id="spar0005"> <list id="list0005"> <list-item id="listitem0005"> <label></label> <p id="p0005">A method to predict protein-binding sites in RNA from sequence data alone is proposed.</p> </list-item> <list-item id="listitem0010"> <label></label> <p id="p0010">Protein-binding sites in RNA are predicted with consideration of protein in addition to RNA.</p> </list-item> <list-item id="listitem0015"> <label></label> <p id="p0015">This is the first sequence-based prediction of protein-binding sites in RNA at the nucleotide-level.</p> </list-item> <list-item id="listitem0020"> <label></label> <p id="p0020">The prediction method achieved an accuracy of 79.2% and MCC of 0.48 in independent testing.</p> </list-item> </list> </p> </sec> </abstract>