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This article is part of the supplement: Eleventh International Conference on Bioinformatics (InCoB2012): Bioinformatics

Open Access Proceedings

B-cell epitope prediction through a graph model

Liang Zhao1, Limsoon Wong2, Lanyuan Lu3, Steven CH Hoi1* and Jinyan Li4*

Author Affiliations

1 Bioinformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore

2 School of Computing, National University of Singapore, Singapore

3 School of Biological Science, Nanyang Technological University, Singapore

4 Advanced Analytics Institute, School of Software, Faculty of Engineering and IT, University of Technology Sydney, PO Box 123, NSW 2007, Australia

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BMC Bioinformatics 2012, 13(Suppl 17):S20  doi:10.1186/1471-2105-13-S17-S20

Published: 13 December 2012

Additional files

Additional File 1:

Additional Table S1 -- The performance of BeTop on 92 antibody-antigen PDB complexes.

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Additional File 2:

Additional Table S2 -- BeTop performance on multiple epitopes prediction.

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Additional File 3:

Additional Table S3 -- 144 features selected to separate epitope clusters from non-epitope clusters.

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Additional File 4:

Additional Figure S1 -- Negative features of non-epitope clusters that distinct from epitope clusters.

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