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Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis
Authors:Yan Xin Huang  Yong Li Bao  Shu Yan Guo  Yan Wang  Chun Guang Zhou  Yu Xin Li
Affiliation:(1) Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130024, PR China;(2) College of Computer Science and Technology, Jilin University, Changchun, 130012, PR China;(3) Research Center of Agriculture and Medicine Gene Engineering of Ministry of Education, Northeast Normal University, Changchun, 130024, PR China;(4) National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, PR China
Abstract:

Background  

The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help in designing experiments to precisely map the residues of interaction between an antigen and an antibody. Consequently, this area of research has received considerable attention from immunologists, structural biologists and computational biologists. Phage-displayed random peptide libraries are powerful tools used to obtain mimotopes that are selected by binding to a given monoclonal antibody (mAb) in a similar way to the native epitope. These mimotopes can be considered as functional epitope mimics. Mimotope analysis based methods can predict not only linear but also conformational epitopes and this has been the focus of much research in recent years. Though some algorithms based on mimotope analysis have been proposed, the precise localization of the interaction site mimicked by the mimotopes is still a challenging task.
Keywords:
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