Whipple’s disease is one of the rare maladies in terms of spread but very fatal one as it is linked with many disorders (like Gastroenteritis, Endocarditis etc.). Also, current regimens include less effective drugs which require long duration follows up. This exploratory study was conducted to commence the investigation for crafting multi target epitope vaccine against its bacterial pathogen Tropheryma whipplei. The modern bioinformatics tools like VaxiJen, NETMHCII PAN 3.2, ALLERGEN-FP, PATCH-DOCK, TOXIC-PRED, MHCPRED and IEDB were deployed, which makes the study more intensive in analyzing proteome of T. whipplei as these methods are based on robust result generating statistical algorithms ANN, HMM, and ML. This Immuno-Informatics approach leads us in the prediction of two epitopes: VLMVSAFPL and IRYLAALHL interacting with 4 and 6 HLA DRB1 alleles of MHC Class II respectively. VLMVSAFPL epitope is a part of DNA-directed RNA polymerase subunit beta, and IRYLAALHL epitope is a part of membranous protein insertase YidC of this bacterium. Molecular-Docking and Molecular-Simulation analysis yields the perfect interaction based on Atomic contact energy, binding scores along with RMSD values (0 to 1.5 Ǻ) in selection zone. The IEDB (Immune epitope database) population coverage analysis exhibits satisfactory relevance with respect to world population.

惠普尔病是一种罕见的传播疾病，但非常致命，因为它与许多疾病（如胃肠炎、心内膜炎等）有关。此外，目前的治疗方案包括效果较差的药物，需要长时间的随访。进行这项探索性研究是为了开始研究制作针对其细菌病原体Tropherymawhippeli的多靶点表位疫苗。部署了现代生物信息学工具，如 VaxiJen、NETMHCII PAN 3.2、ALLERGEN-FP、PATCH-DOCK、TOXIC-PRED、MHCPRED 和 IEDB，这使得该研究在分析 T.whipplei 蛋白质组方面更加深入因为这些方法基于稳健的结果生成统计算法 ANN、HMM 和 ML。这种免疫信息学方法引导我们预测两个表位：VLMVSAFPL 和 IRYLAALHL 分别与 MHC II 类的 4 个和 6 个 HLA DRB1 等位基因相互作用。VLMVSAFPL 表位是 DNA 导向的 RNA 聚合酶亚基 β 的一部分，而 IRYLAALHL 表位是该细菌的膜蛋白插入酶 YidC 的一部分。分子对接和分子模拟分析基于原子接触能、结合分数以及选择区的 RMSD 值（0 到 1.5 Ǻ）产生完美的相互作用。IEDB（免疫表位数据库）人口覆盖分析显示出与世界人口的令人满意的相关性。