Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Department of Radiation Oncology, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States.
J Infect Dev Ctries. 2024 Jul 29;18(7):1090-1099. doi: 10.3855/jidc.19005.
This immunoinformatic study identified potential epitopes from the envelopment polyprotein (Gn/Gc) of Rift Valley fever virus (RVFV), a pathogenic virus causing severe fever in humans and livestock. Effective vaccination is crucial for controlling RVFV outbreaks. The identification of suitable epitopes is crucial for the development of safe and effective vaccines.
Protein sequences were obtained from the UniProt database, and evaluated through VaxiJen v2.0 to predict the B and T-cell epitopes within the RVFV glycoprotein. Gn/Gc protein sequences were analyzed with bioinformatics tools and algorithms. The predicted T-cell and B-cell epitopes were evaluated for antigenicity, allergenicity, and toxicity by the VaxiJen v2.0 system, AllerTop v2.0, and ToxinPred server, respectively.
We employed computational methods to screen the RVFV envelopment polyprotein encompassing N-terminal and C-terminal glycoprotein segments, to discover antigenic T- and B-cell epitopes. Our analysis unveiled multiple potential epitopes within the RVFV glycoprotein, specifically within the Gn/Gc protein sequences. Subsequently, we selected eleven cytotoxic T-lymphocytes (CTL) and four helper T-lymphocytes (HTL) for population coverage analysis, which collectively extended to cover 97.04% of the world's population, representing diverse ethnicities and regions. Notably, the CTL epitope VQADLTLMF exhibited binding affinity to numerous human leukocyte antigen (HLA) alleles. The identification of glycoprotein (Gn/Gc) epitopes through this immunoinformatic study bears significant implications for advancing the development of an effective RVFV vaccine.
These findings provide valuable insights into the immunological aspects of the disease and may contribute towards the development of broad-spectrum antiviral therapies targeting other RNA viruses with similar polymerase enzymes.
本免疫信息学研究从裂谷热病毒(RVFV)的包膜多蛋白(Gn/Gc)中鉴定出了潜在的表位,RVFV 是一种引起人类和家畜严重发热的致病病毒。有效的疫苗接种对于控制 RVFV 的爆发至关重要。鉴定合适的表位对于开发安全有效的疫苗至关重要。
从 UniProt 数据库中获取蛋白序列,并通过 VaxiJen v2.0 评估 RVFV 糖蛋白中的 B 细胞和 T 细胞表位。使用生物信息学工具和算法分析 Gn/Gc 蛋白序列。使用 VaxiJen v2.0 系统、AllerTop v2.0 和 ToxinPred 服务器分别评估预测的 T 细胞和 B 细胞表位的抗原性、变应原性和毒性。
我们采用计算方法筛选 RVFV 包膜多蛋白,包括 N 端和 C 端糖蛋白片段,以发现抗原性 T 细胞和 B 细胞表位。我们的分析揭示了 RVFV 糖蛋白内的多个潜在表位,特别是 Gn/Gc 蛋白序列内的表位。随后,我们选择了 11 个细胞毒性 T 淋巴细胞(CTL)和 4 个辅助性 T 淋巴细胞(HTL)进行群体覆盖分析,它们共同覆盖了 97.04%的世界人口,代表了不同的种族和地区。值得注意的是,CTL 表位 VQADLTLMF 与许多人类白细胞抗原(HLA)等位基因具有结合亲和力。通过免疫信息学研究鉴定糖蛋白(Gn/Gc)表位对于推进 RVFV 有效疫苗的开发具有重要意义。
这些发现为该疾病的免疫学方面提供了有价值的见解,并可能有助于开发针对具有类似聚合酶酶的其他 RNA 病毒的广谱抗病毒疗法。