Section: New Software and Platforms

VIRALpro

Functional Description

VIRALpro is a predictor capable of identifying capsid and tail protein sequences using support vector machines (SVM) with an estimated accuracy between 90% and 97%. Predictions are based on the protein amino acid composition, on the protein predicted secondary structure, as predicted by SSpro, and on a boosted linear combination of HMM e-values obtained from 3,380 HMMs built from multiple sequence alignments of specific fragments - called contact fragments - of both capsid and tail sequences. This tool was designed in the context of a 2015 Explorer Program visit at University of California, Irvine

• Participants: Clovis Galiez, François Coste

• Partner: Pierre Baldi, University of California, Irvine

• Contact: Clovis Galiez