IRESPred: Web Server for Prediction of Cellular and Viral Internal Ribosome Entry Site (IRES)

• DOI: 10.1038/srep27436
• Publication Date: 2016-06-06T10:03:02Z
• Authors: Pandurang Kolekar; Abhijeet Pataskar; Urmila Kulkarni-Kale; Jayanta Pal; Abhijeet Kulkarni
• Keywords: 0301 basic medicine; Internet; 0303 health sciences; 03 medical and health sciences; Humans; RNA, Viral; Internal Ribosome Entry Sites; 5' Untranslated Regions; Membrane Fusion; Article

Abstract Cellular mRNAs are predominantly translated in a cap-dependent manner. However, some viral and subset of cellular initiate their translation cap-independent This requires presence structured RNA element, known as, Internal Ribosome Entry Site (IRES) 5′ untranslated regions (UTRs). Experimental demonstration IRES UTR remains challenging task. Computational prediction merely based on sequence structure conservation is also difficult, particularly for IRES. A web server, IRESPred developed both using Support Vector Machine (SVM). The predictive model was built 35 features that structural properties UTRs the probabilities interactions between small subunit ribosomal proteins (SSRPs). found to have 75.51% accuracy, 75.75% sensitivity, 75.25% specificity, precision Matthews Correlation Coefficient (MCC) 0.51 blind testing. perform better than only available VIPS. server freely at http://bioinfo.net.in/IRESPred/ .