Wang Dongfang, Bai Xuejuan, Liu Yinping, Liang Yan, Wu Xueqiong, Lin Minggui
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Apr;33(2):325-31.
To screen new tuberculosis diagnostic antigens and vaccine candidates,we predicted the epitopes of Mycobacterium tuberculosis latent infection-associated protein Rv2004 cby means of bioinformatics.The homology between Rv2004 cprotein and human protein sequences was analyzed with BLAST method.The second structures,hydrophilicity,antigenicity,flexibility and surface probability of the protein were analyzed to predict B cell epitopes and T cell epitopes by Protean software of DNAStar software package.The Th epitopes were predicted by RANKPEP and SYFPEITHI supermotif method,the CTL epitopes were predicted by means of combination analyses of SYFPEITHI supermotif method,BIMAS quantitative motif method and NetCTL prediction method.The peptide sequences with higher scores were chosen as the candidate epitopes.Blast analysis showed that Rv2004 cprotein had low homology with human protein.This protein had abundant secondary structures through analysis of DNAStar software,the peptide segments with high index of hydrophilicity,antigenicity,surface probability and flexibility were widely distributed and were consistent with segments having beta turn or irregular coil.Ten candidates of B cell epitopes were predicted.The Th epitopes of Rv2004 cprotein were located after the 200 th amino acid.Of 37 Th cell epitopes predicted,there were more epitopes of HLA-DRB10401and HLA-DRB10701phenotypes,and the MHC restrictive types of some Th cell epitopes exist cross overlap.Of 10 CTL epitopes predicted,there were more number and higher score of HLA-A2 restricted epitopes.Therefore MycobacteriumtuberculosisRv2004 cprotein is a protein antigen with T cell and B cell epitopes,and is expected to be a new target protein candidate for tuberculosis diagnosis and vaccine.
为筛选新型结核病诊断抗原和疫苗候选物，我们通过生物信息学方法预测了结核分枝杆菌潜伏感染相关蛋白Rv2004c的表位。采用BLAST方法分析Rv2004c蛋白与人蛋白序列之间的同源性。利用DNAStar软件包中的Protean软件分析该蛋白的二级结构、亲水性、抗原性、柔韧性和表面可能性，以预测B细胞表位和T细胞表位。通过RANKPEP和SYFPEITHI超基序方法预测Th表位，通过SYFPEITHI超基序方法、BIMAS定量基序方法和NetCTL预测方法的联合分析预测CTL表位。选择得分较高的肽序列作为候选表位。Blast分析表明，Rv2004c蛋白与人蛋白的同源性较低。通过DNAStar软件分析，该蛋白具有丰富的二级结构，亲水性、抗原性、表面可能性和柔韧性指数较高的肽段广泛分布，且与具有β转角或无规卷曲的片段一致。预测出10个B细胞表位候选物。Rv2004c蛋白的Th表位位于第200个氨基酸之后。在预测的37个Th细胞表位中，HLA - DRB10401和HLA - DRB10701表型的表位较多，部分Th细胞表位的MHC限制性类型存在交叉重叠。在预测的10个CTL表位中，HLA - A2限制性表位的数量较多且得分较高。因此，结核分枝杆菌Rv2004c蛋白是一种具有T细胞和B细胞表位的蛋白抗原，有望成为结核病诊断和疫苗的新型靶蛋白候选物。
