Predictive vaccinology

Optimisation of predictions using support vector machine classifiers

Ivana Bozic, Guang Lan Zhang, Vladimir Brusic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsM. Gallagher, J. Hogan, F. Maire
Pages375-381
Number of pages7
Volume3578
Publication statusPublished - 2005
Externally publishedYes
Event6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005 - Brisbane, Australia
Duration: Jul 6 2005Jul 8 2005

Other

Other6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005
CountryAustralia
CityBrisbane
Period7/6/057/8/05

Fingerprint

Peptides
Support vector machines
Classifiers
Antigens
Molecules
Vaccines
Hidden Markov models
Neural networks
Testing

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Bozic, I., Zhang, G. L., & Brusic, V. (2005). Predictive vaccinology: Optimisation of predictions using support vector machine classifiers. In M. Gallagher, J. Hogan, & F. Maire (Eds.), Lecture Notes in Computer Science (Vol. 3578, pp. 375-381)

Predictive vaccinology : Optimisation of predictions using support vector machine classifiers. / Bozic, Ivana; Zhang, Guang Lan; Brusic, Vladimir.

Lecture Notes in Computer Science. ed. / M. Gallagher; J. Hogan; F. Maire. Vol. 3578 2005. p. 375-381.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bozic, I, Zhang, GL & Brusic, V 2005, Predictive vaccinology: Optimisation of predictions using support vector machine classifiers. in M Gallagher, J Hogan & F Maire (eds), Lecture Notes in Computer Science. vol. 3578, pp. 375-381, 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005, Brisbane, Australia, 7/6/05.
Bozic I, Zhang GL, Brusic V. Predictive vaccinology: Optimisation of predictions using support vector machine classifiers. In Gallagher M, Hogan J, Maire F, editors, Lecture Notes in Computer Science. Vol. 3578. 2005. p. 375-381
Bozic, Ivana ; Zhang, Guang Lan ; Brusic, Vladimir. / Predictive vaccinology : Optimisation of predictions using support vector machine classifiers. Lecture Notes in Computer Science. editor / M. Gallagher ; J. Hogan ; F. Maire. Vol. 3578 2005. pp. 375-381
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