Publication Type
Journal Article
Version
publishedVersion
Publication Date
12-2012
Abstract
Prediction of B-cell epitopes from antigens is useful to understand the immune basis of antibody-antigen recognition, and is helpful in vaccine design and drug development. Tremendous efforts have been devoted to this long-studied problem, however, existing methods have at least two common limitations. One is that they only favor prediction of those epitopes with protrusive conformations, but show poor performance in dealing with planar epitopes. The other limit is that they predict all of the antigenic residues of an antigen as belonging to one single epitope even when multiple non-overlapping epitopes of an antigen exist.
Keywords
Protein Data Bank, Accessible Surface Area, Boundary Edge, Residue Type, Residue Pair
Discipline
Bioinformatics | Computer Sciences | Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
BMC Bioinformatics
Volume
13
Issue
17
First Page
1
Last Page
12
ISSN
1471-2105
Identifier
10.1186/1471-2105-13-S17-S20
Publisher
BMC
Citation
ZHAO, Liang; WONG, Limsoon; LU, Lanyuan; HOI, Steven C. H.; and LI, Jinyan.
B-cell Epitope Prediction through a Graph Model. (2012). BMC Bioinformatics. 13, (17), 1-12.
Available at: https://ink.library.smu.edu.sg/sis_research/2271
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-S17-S20
Comments
From Asia Pacific Bioinformatics Network (APBioNet) Eleventh International Conference on Bioinformatics (InCoB2012) Bangkok, Thailand. 3-5 October 2012