title: Advances of bioinformatics tools applied in virus epitopes prediction.
abstract: In recent years, the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein, a general overview of different tools currently available, including T cell and B cell epitopes prediction tools, is presented. And the principles of different prediction algorithms are reviewed briefly. Finally, several examples are present to illustrate the application of the prediction tools.
authors.affiliation: State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
authors.forename: Ping
authors.initials: P
authors.lastname: Chen
authors.forename: Simon
authors.initials: S
authors.lastname: Rayner
authors.forename: Kang-Hong
authors.initials: KH
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D000939:Epitopes / Q000276:immunology*; D018985:Epitopes, B-Lymphocyte / Q000276:immunology; D018984:Epitopes, T-Lymphocyte / Q000276:immunology; D014780:Viruses / Q000276:immunology*
chemical_list: D000939:Epitopes; D018985:Epitopes, B-Lymphocyte; D018984:Epitopes, T-Lymphocyte