The Prediction of B Cell Epitopes for VP73 Protein of African Fever Virus

[Objective] The B cell epitopes for VP73 protein of African swine fever virus was predicted. [ Method] Based on the analysis of the amino acid sequence and the flexible regions of VP73 protein, the B cell epitopes for VP73 protein of African swine fever virus were predicted by method of Kyte-Doolittie, Emini and Jameson-Wolf. [Result] The B cell epitopes were located at or adjacent to the N-terminal No. 11 - 18,26 -48,73 -82,136 - 150,159 - 174,181 - 189,191 - 210,247 - 276,279 - 295,313 - 323 and 382 - 392. [Conclusion] The multi-parameters analytic method was adopted to predict the B cell epitopes for VP73 protein of African swine fever virus, which laid solid foundation for further characterizing the protein of VP73 and researching epitope vaccine.

Bioinformatics Analysis on B cell Epitopes of Rice Allergen RAG1

[Objective] To predict the secondary structure and B cell epitopes of the rice major allergen RAG1. [Method] The amino acid sequence of rice allergen RAG1 was acquired from Expasy protein database. The secondary structure of RAG1 was predicted by DNAStar Protean software with Gamier-Robson program, Chou-Fasman program and Karplus-Schulz program; the B cell epitopes of RAG1 was predicted with the Kyte Doolittle hydrophilic program, Emini surface accessibility program and Jameson-Wolf antigenic index program. [Result] The predictions on secondary structure and B cell epitopes showed that the regions of 33-44, 119-129, 155-163 were the dominant B cell epitopes. [Conclusion] This study predicted the potential dominant B cell epitopes in rice allergen RAG1 by comprehensive use of multi-methods and multi-parameters, and provided a theoretical basis for further researches on identification, antigen modification and epitope vaccine design of RAG1 B cell epitopes.

Prediction on Antigenic Epitope Characteristics of Bt Cry2Ab Protein in Transgenic Crops

[Objective] This study aimed to predict the structural characteristics of Bt Cry2Ab protein in transgenic crops with bioinformatic analysis to provide the theoretical clues for design of antibody Cry2Ab. [Method] The amino acid sequence of Cry2Ab protein was searched from NCBI database. The B cell epitopes were predicted with DNAStar. The binding affinity between Cry2Ab protein and MHC-II molecules was analyzed with NetMHCII 2.2 Server to predict the T cell epitopes. [Result] Prediction result suggested the potential B cell epitope of Cry2Ab locating in the region of 208-215. Analysis of the binding affinity between Cry2Ab and MHC-II molecules suggested the regions of 177-185, 299-307 and 255-263 were the potential T cell epitopes. Human with HLA-DRB10101 alleles and HLA-DRB10701 alleles were more sensitive to Cry2Ab protein. [Conclusion] This study facilitates to understand the structural characteristics of Cry2Ab protein and provides a new clue to improve the assessment method for potential allergenicity of genetically modified food.

Computational Analysis of Cysteine Proteases(Clan CA,Family C1) of Leishmania major to Find Potential Epitopic Regions

Leishmania is associated with a broad spectrum of diseases, ranging from simple cutaneous to invasive visceral leishmaniasis. Here, the sequences of ten cysteine proteases of types A, B and C of Leishmania major were obtained from GeneDB database. Prediction of MHC class I epitopes of these cysteine proteases was performed by NetCTL program version 1.2. In addition, by using BcePred server, different structural properties of the proteins were predicted to find out their potential B cell epitopes. According to this computational analysis, nine regions were predicted as B cell epitopes. The results provide useful information for designing peptide-based vaccines.