B-cell Epitope Prediction through a Graph Model

B-cell Epitope Prediction through a Graph Model

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 limitatio...

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Bibliographic Details
Main Authors: ZHAO, Liang, WONG, Limsoon, LU, Lanyuan, HOI, Steven C. H., LI, Jinyan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Protein Data Bank
Accessible Surface Area
Boundary Edge
Residue Type
Residue Pair
Bioinformatics
Computer Sciences
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/2271
https://ink.library.smu.edu.sg/context/sis_research/article/3271/viewcontent/B_CellEpitopePrediction_2012.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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