Ojha Rupal, Pareek Aditi, Pandey Rajan K, Prusty Dhaneswar, Prajapati Vijay K
Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, Ajmer, Rajasthan 305817, India.
ACS Omega. 2019 Aug 7;4(8):13069-13079. doi: 10.1021/acsomega.9b00944. eCollection 2019 Aug 20.
Nipah virus (NiV) is an emerging zoonotic pathogen, reported for the recent severe outbreaks of encephalitis and respiratory illness in humans and animals, respectively. Many antiviral drugs have been discovered to inhibit this pathogen, but none of them were that much efficient. To overcome the complications associated with this severe pathogenic virus, we have designed a multi-epitope subunit vaccine using computational immunology strategies. Identification of structural and nonstructural proteins of Nipah virus assisted in the vaccine designing. The selected proteins are known to be involved in the survival of the virus. The antigenic binders (B-cell, HTL, and CTL) from the selected proteins were prognosticated. These antigenic binders will be able to generate the humoral as well as cell-mediated immunity. All the epitopes were united with the help of suitable linkers and with an adjuvant at the N-terminal of the vaccine, for the enhancement of immunogenicity. The physiological characterization, along with antigenicity and allergenicity of the designed vaccine candidates, was estimated. The 3D structure prediction and its validation were performed. The validated vaccine model was then docked and simulated with the TLR-3 receptor to check the stability of the docked complex. This next-generation approach will provide a new vision for the development of a high immunogenic vaccine against the NiV.
尼帕病毒(NiV)是一种新出现的人畜共患病原体,分别导致了近期人类的严重脑炎疫情和动物的严重呼吸道疾病疫情。人们已经发现了许多抗病毒药物来抑制这种病原体,但它们都不太有效。为了克服与这种严重致病病毒相关的并发症,我们利用计算免疫学策略设计了一种多表位亚单位疫苗。尼帕病毒结构蛋白和非结构蛋白的鉴定有助于疫苗设计。已知所选蛋白质与病毒的存活有关。对所选蛋白质的抗原结合物(B细胞、辅助性T淋巴细胞和细胞毒性T淋巴细胞)进行了预测。这些抗原结合物将能够产生体液免疫和细胞介导免疫。所有表位借助合适的连接子连接在一起,并在疫苗的N端添加了佐剂,以增强免疫原性。对设计的候选疫苗的生理学特征以及抗原性和致敏性进行了评估。进行了三维结构预测及其验证。然后将经过验证的疫苗模型与Toll样受体3(TLR-3)对接并进行模拟,以检查对接复合物的稳定性。这种新一代方法将为开发针对尼帕病毒的高免疫原性疫苗提供新的思路。