Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Front Immunol. 2024 Jul 1;15:1426496. doi: 10.3389/fimmu.2024.1426496. eCollection 2024.
The Zika virus (ZIKV) is an emerging virus associated with the family that mainly causes infection in pregnant women and leads to several abnormalities during pregnancy. This virus has unique properties that may lead to pathological diseases. As the virus has the ability to evade immune response, a crucial effort is required to deal with ZIKV. Vaccines are a safe means to control different pathogenic infectious diseases. In the current research, a multi-epitope-based vaccination against ZIKV is being designed using methods. For the epitope prediction and prioritization phase, ZIKV polyprotein (YP_002790881.1) and flavivirus polyprotein (>YP_009428568.1) were targeted. The predicted B-cell epitopes were used for MHC-I and MHC-II epitope prediction. Afterward, several immunoinformatics filters were applied and nine (REDLWCGSL, MQDLWLLRR, YKKSGITEV, TYTDRRWCF, RDAFPDSNS, KPSLGLINR, ELIGRARVS, AITQGKREE, and EARRSRRAV) epitopes were found to be probably antigenic in nature, non-allergenic, non-toxic, and water soluble without any toxins. Selected epitopes were joined using a particular GPGPG linker to create the base vaccination for epitopes, and an extra EAAAK linker was used to link the adjuvant. A total of 312 amino acids with a molecular weight (MW) of 31.62762 and an instability value of 34.06 were computed in the physicochemical characteristic analysis, indicating that the vaccine design is stable. The molecular docking analysis predicted a binding energy of -329.46 (kcal/mol) for TLR-3 and -358.54 (kcal/mol) for TLR-2. Moreover, the molecular dynamics simulation analysis predicted that the vaccine and receptor molecules have stable binding interactions in a dynamic environment. The C-immune simulation analysis predicted that the vaccine has the ability to generate both humoral and cellular immune responses. Based on the design, the vaccine construct has the best efficacy to evoke immune response in theory, but experimental analysis is required to validate the base approach and ensure its safety.
寨卡病毒(ZIKV)是一种新兴的病毒,属于黄病毒科,主要感染孕妇,并导致妊娠期间出现多种异常。该病毒具有独特的特性,可能导致病理性疾病。由于该病毒能够逃避免疫反应,因此需要做出重要努力来应对 ZIKV。疫苗是控制不同致病性传染病的安全手段。在当前的研究中,正在使用基于多表位的方法设计针对 ZIKV 的疫苗。在表位预测和优先级阶段,针对了 ZIKV 多蛋白(YP_002790881.1)和黄病毒多蛋白(>YP_009428568.1)。预测的 B 细胞表位用于 MHC-I 和 MHC-II 表位预测。此后,应用了几种免疫信息学过滤器,并发现了九个(REDLWCGSL、MQDLWLLRR、YKKSGITEV、TYTDRRWCF、RDAFPDSNS、KPSLGLINR、ELIGRARVS、AITQGKREE 和 EARRSRRAV)表位可能具有抗原性、非变应原性、非毒性和水溶性,没有任何毒素。选择的表位使用特定的 GPGPG 接头连接起来,以创建基础疫苗接种的表位,并且使用额外的 EAAAK 接头来连接佐剂。在理化特性分析中计算了 312 个氨基酸,分子量(MW)为 31.62762,不稳定性值为 34.06,表明疫苗设计是稳定的。分子对接分析预测 TLR-3 的结合能为-329.46(kcal/mol),TLR-2 的结合能为-358.54(kcal/mol)。此外,分子动力学模拟分析预测疫苗和受体分子在动态环境中有稳定的结合相互作用。C-免疫模拟分析预测疫苗具有产生体液和细胞免疫反应的能力。基于设计,疫苗构建体在理论上具有最佳的免疫反应效果,但需要进行实验分析来验证基础方法并确保其安全性。