Department of Pharmaceutics, College of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
J Biomol Struct Dyn. 2024;42(22):12105-12121. doi: 10.1080/07391102.2023.2268173. Epub 2023 Oct 28.
is an intracellular pathogen and causes variety of deadly infections in humans. Antibiotics are effective against however high percentage of resistant strains have been reported in recent times. As there is no licensed vaccine, we used techniques to design a multi-epitopes vaccine against Following a step-wise protocol, the proteome of available 26 strains was retrieved and filtered for subcellular localized proteins. Five proteins were selected (2 extracellular and 3 outer membrane) and were further analyzed for B-cell and T-cell epitopes prediction. Epitopes were further checked for antigenicity, solubility, stability, toxigenicity, allergenicity, and adhesive properties. Filtered epitopes were linked linkers and the 3D structure of the designed vaccine construct was predicted. Binding of the designed vaccine with immune receptors: MHC-I, MHC-II, and TLR-4 was analyzed, which resulted in docking energy scores of -4.37 kcal/mol, -0.20 kcal/mol and -22.38 kcal/mol, respectively. Further, the docked complexes showed stable dynamics with a maximum value of vaccine-MHC-I complex (7.8 Å), vaccine-MHC-II complex (6.2 Å) and vaccine-TLR4 complex (5.2 Å). As per the results, the designed vaccine construct reported robust immune responses to protect the host against infections. In the study, the proteomes were considered in pan-genome analysis to extract core proteins. The pan-genome analysis was conducted using bacterial pan-genome analysis (BPGA) software. The core proteins were checked further for non-redundant proteins using a CD-Hit server. Surface localized proteins were investigated using PSORTb v 3.0. The surface proteins were BLASTp against Virulence Factor Data Base (VFDB) to predict virulent factors. Antigenicity prediction of the shortlisted proteins was further done using VAXIGEN v 2.0. The epitope mapping was done using the immune epitope database (IEDB). A multi-epitopes vaccine was built and a 3D structure was generated using 3Dprot online server. The docking analysis of the designed vaccine with immune receptors was carried out using PATCHDOCK. Molecular dynamics and post-simulation analyses were carried out using AMBER v20 to decipher the dynamics stability and intermolecular binding energies of the docked complexes.Communicated by Ramaswamy H. Sarma.
是一种细胞内病原体,可导致人类多种致命感染。抗生素对有效,但最近报道的耐药菌株比例很高。由于没有许可的疫苗,我们使用技术来设计一种针对的多表位疫苗。按照逐步的方案,检索并筛选了 26 个可用株的蛋白质组,以获取亚细胞定位的蛋白质。选择了 5 种蛋白质(2 种细胞外蛋白和 3 种外膜蛋白),并进一步分析了 B 细胞和 T 细胞表位预测。进一步检查了表位的抗原性、可溶性、稳定性、毒性、过敏性和粘附性。筛选出的表位用 链接,设计疫苗结构的 3D 结构被预测。分析了设计疫苗与免疫受体:MHC-I、MHC-II 和 TLR-4 的结合,结果分别为-4.37 kcal/mol、-0.20 kcal/mol 和-22.38 kcal/mol。此外,对接复合物显示出稳定的动力学,疫苗-MHC-I 复合物的最大值为 7.8 Å,疫苗-MHC-II 复合物为 6.2 Å,疫苗-TLR4 复合物为 5.2 Å。结果表明,设计的疫苗构建体能够产生针对 的强大免疫反应,以保护宿主免受感染。在研究中,泛基因组分析中考虑了 蛋白质组以提取核心蛋白。泛基因组分析使用细菌泛基因组分析(BPGA)软件进行。使用 CD-Hit 服务器进一步检查核心蛋白以去除冗余蛋白。使用 PSORTb v 3.0 研究表面定位蛋白。使用 BLASTp 将表面蛋白与病毒因子数据库(VFDB)进行比对,以预测毒力因子。对筛选出的蛋白质进行抗原性预测,进一步使用 VAXIGEN v 2.0 进行。使用免疫表位数据库(IEDB)进行表位作图。使用 3Dprot 在线服务器构建多表位疫苗并生成 3D 结构。使用 PATCHDOCK 进行设计疫苗与免疫受体的对接分析。使用 AMBER v20 进行分子动力学和模拟后分析,以破译对接复合物的动力学稳定性和分子间结合能。由 Ramaswamy H. Sarma 传达。