Predictive vaccinology: optimisation of predictions using support vector machine classifiers

Authors:
Ivana Bozic;Guang Lan Zhang;Vladimir Brusic
Affiliations:
Faculty of Mathematics, University of Belgrade, Belgrade, Serbia;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore
Venue:
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Year:
2005

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Abstract

Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidden Markov models and artificial neural networks as prediction algorithms. We report a system based on support vector machines that outperforms previously published methods. Preliminary testing showed that it can predict peptides binding to HLA-A2 and -A3 supertype molecules with excellent accuracy, even for molecules where no binding data are currently available.