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IDEAL
2005
Springer

Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers

10 years 4 months ago
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
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.
Ivana Bozic, Guanglan Zhang, Vladimir Brusic
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IDEAL
Authors Ivana Bozic, Guanglan Zhang, Vladimir Brusic
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