Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology

Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial pathogens for subunit vaccine design. RV has become firmly established following the development of the BEXSERO® vaccine against Neisseria meningitid...

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Bibliographic Details
Main Authors: Ashley I. Heinson, Yawwani Gunawardana, Bastiaan Moesker, Carmen C. Denman Hume, Elena Vataga, Yper Hall, Elena Stylianou, Helen McShane, Ann Williams, Mahesan Niranjan, Christopher H. Woelk
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:International Journal of Molecular Sciences
Subjects:
reverse vaccinology
machine learning
support vector machine
bacterial protective antigen
bacterial pathogen
Online Access:http://www.mdpi.com/1422-0067/18/2/312

Internet

http://www.mdpi.com/1422-0067/18/2/312

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