title: Conformational B-cell epitope prediction method based on antigen preprocessing and mimotopes analysis.
abstract: Identification of epitopes which invokes strong humoral responses is an essential issue in the field of immunology. Various computational methods that have been developed based on the antigen structures and the mimotopes these years narrow the search for experimental validation. These methods can be divided into two categories: antigen structure-based methods and mimotope-based methods. Though new methods of the two kinds have been proposed in these years, they cannot maintain a high degree of satisfaction in various circumstances. In this paper, we proposed a new conformational B-cell epitope prediction method based on antigen preprocessing and mimotopes analysis. The method classifies the antigen surface residues into "epitopes" and "nonepitopes" by six epitope propensity scales, removing the "nonepitopes" and using the preprocessed antigen for epitope prediction based on mimotope sequences. The proposed method gives out the mean F score of 0.42 on the testing dataset. When compared with other publicly available servers by using the testing dataset, the new method yields better performance. The results demonstrate the proposed method is competent for the conformational B-cell epitope prediction.
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China ; National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun 130024, China ; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.
authors.forename: Pingping
authors.initials: P
authors.lastname: Sun
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China ; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.
authors.forename: Haixu
authors.identifier: 0000-0002-1642-3417
authors.initials: H
authors.lastname: Ju
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China ; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.
authors.forename: Baowen
authors.initials: B
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China ; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Gu
authors.affiliation: Faculty of Physical Education, Northeast Normal University, Changchun 130024, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Liu
authors.affiliation: National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun 130024, China.
authors.forename: Yanxin
authors.initials: Y
authors.lastname: Huang
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China ; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.
authors.forename: Huijie
authors.initials: H
authors.lastname: Zhang
authors.affiliation: National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun 130024, China.
authors.forename: Yuxin
authors.initials: Y
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000941:Antigens / Q000737:chemistry* / Q000276:immunology*; D019295:Computational Biology / Q000379:methods; D018985:Epitopes, B-Lymphocyte / Q000737:chemistry* / Q000276:immunology*; D008968:Molecular Conformation
chemical_list: D000941:Antigens; D018985:Epitopes, B-Lymphocyte