根据Gen Bank中的鸡肠炎沙门氏菌ompA基因序列,设计了1对引物,成功克隆出鸡肠炎沙门氏菌ompA基因,扩增产物大小为1053bp。采用DNA Star Protean程序,综合运用二级结构、亲水性、可塑性和抗原性指数等参数,对鸡肠炎沙门氏菌ompA基因的氨...根据Gen Bank中的鸡肠炎沙门氏菌ompA基因序列,设计了1对引物,成功克隆出鸡肠炎沙门氏菌ompA基因,扩增产物大小为1053bp。采用DNA Star Protean程序,综合运用二级结构、亲水性、可塑性和抗原性指数等参数,对鸡肠炎沙门氏菌ompA基因的氨基酸序列进行了B细胞表位预测,为进一步研究鸡肠炎沙门氏菌表位疫苗和分子诊断技术的建立奠定基础。展开更多
[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...[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.展开更多
[ Objective] The aim was to predict the secondary structure and B cell epitope of growth hormone （GH） protein from Acipenser sinensis. [Method] With the amino acid sequence of GH protein from A. sinensis as the base...[ Objective] The aim was to predict the secondary structure and B cell epitope of growth hormone （GH） protein from Acipenser sinensis. [Method] With the amino acid sequence of GH protein from A. sinensis as the base, the secondary structure of GH protein from A. sinensis was predicted by the method of Gamier-Robson, Chou-Fasman and Karpius-Schulz, and its cell epitope was predicted by the method of Kyte- Doolittle, Emini and Jameson-Wolf. [Result] The sections of 18 -23, 55 -55, 67 -73, 83 -86,112 -114,151 -157 and 209 -211 in the N terminal of GH protein molecule had softer structure and these sections could sway or fold to produce more complex tertiary structure. The sections of 19 -23, 51 -71,84 -95, 128 -139, 164 -176 and 189 -195 in the N terminal of GH protein could be the epitope of B cell and there were flexible regions in these sections or near these sections of GH protein molecule. So the dominant regions could be in these sections or near these sections. [ Conclusion] The research provided the basis for the preparation of monoctonal antibody of GH protein from A. sinensis and provided the reference for the discussion for the molecular regulation mechanism of A. sinensis.展开更多
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 over...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.展开更多
文摘根据Gen Bank中的鸡肠炎沙门氏菌ompA基因序列,设计了1对引物,成功克隆出鸡肠炎沙门氏菌ompA基因,扩增产物大小为1053bp。采用DNA Star Protean程序,综合运用二级结构、亲水性、可塑性和抗原性指数等参数,对鸡肠炎沙门氏菌ompA基因的氨基酸序列进行了B细胞表位预测,为进一步研究鸡肠炎沙门氏菌表位疫苗和分子诊断技术的建立奠定基础。
文摘[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.
文摘[ Objective] The aim was to predict the secondary structure and B cell epitope of growth hormone （GH） protein from Acipenser sinensis. [Method] With the amino acid sequence of GH protein from A. sinensis as the base, the secondary structure of GH protein from A. sinensis was predicted by the method of Gamier-Robson, Chou-Fasman and Karpius-Schulz, and its cell epitope was predicted by the method of Kyte- Doolittle, Emini and Jameson-Wolf. [Result] The sections of 18 -23, 55 -55, 67 -73, 83 -86,112 -114,151 -157 and 209 -211 in the N terminal of GH protein molecule had softer structure and these sections could sway or fold to produce more complex tertiary structure. The sections of 19 -23, 51 -71,84 -95, 128 -139, 164 -176 and 189 -195 in the N terminal of GH protein could be the epitope of B cell and there were flexible regions in these sections or near these sections of GH protein molecule. So the dominant regions could be in these sections or near these sections. [ Conclusion] The research provided the basis for the preparation of monoctonal antibody of GH protein from A. sinensis and provided the reference for the discussion for the molecular regulation mechanism of A. sinensis.
基金The National Natural Science Foundations of China (30870131)the National Key Projects in the Infectious Fields (2008ZX10002-011, 2008ZX10004-004)
文摘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.
