Conformational B-Cell Epitope Prediction on Antigen Protein Structures: A Review of Current Algorithms and Comparison with Common Binding Site Prediction Methods |
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Authors: | Bo Yao Dandan Zheng Shide Liang Chi Zhang |
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Institution: | 1. School of Biological Sciences, Center for Plant Science and Innovation, University of Nebraska, Lincoln, Nebraska, United States of America.; 2. Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.; 3. Systems Immunology Lab, Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan.; Northwestern University Feinberg School of Medicine, United States of America, |
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Abstract: | Accurate prediction of B-cell antigenic epitopes is important for immunologic research and medical applications, but compared with other bioinformatic problems, antigenic epitope prediction is more challenging because of the extreme variability of antigenic epitopes, where the paratope on the antibody binds specifically to a given epitope with high precision. In spite of the continuing efforts in the past decade, the problem remains unsolved and therefore still attracts a lot of attention from bioinformaticists. Recently, several discontinuous epitope prediction servers became available, and it is intriguing to review all existing methods and evaluate their performances on the same benchmark. In addition, these methods are also compared against common binding site prediction algorithms, since they have been frequently used as substitutes in the absence of good epitope prediction methods. |
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