This article is part of the supplement: Eleventh International Conference on Bioinformatics (InCoB2012): Bioinformatics
Proceedings
B-cell epitope prediction through a graph model
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
BMC Bioinformatics 2012, 13(Suppl 17):S20 doi:10.1186/1471-2105-13-S17-S20
Published: 13 December 2012Additional 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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