Department of Biotechnology, PES University, Bengaluru, India.
Altern Lab Anim. 2023 Sep;51(5):313-322. doi: 10.1177/02611929231193416. Epub 2023 Aug 7.
The constant evolution of pathogenic viral variants and the emergence of new viruses have reinforced the need for broad-spectrum vaccines to combat such threats. The spread of new viral variants leading to epidemic and pandemic infection can be effectively contained, if broad-spectrum vaccines effective against the newer viral variants are readily available. The development of broad-spectrum, pan-neutralising antibodies against viruses which, in general terms, are very antigenically different - such as HIV, influenza virus and paramyxoviruses - has been reported in the literature. The amino acid sequences used to generate a range of approved recombinant anti-viral vaccines were analysed by using methods, with the aim of identifying highly antigenic peptide regions that may be suitable for the development of broad-spectrum peptide-based anti-viral vaccines. This was achieved through the use of open-source data, an algorithm-driven probability matrix, and published prediction tools (SVMTriP, IEDB-AR, VaxiJen 2.0, AllergenFP v. 1.0, AllerTOP v. 2.0, ToxinPred and ProtParam) to evaluate antigenicity, MHC-I and MHC-II binding potential, immunogenicity, allergenicity, toxicity and physicochemical properties. We report a pan-antigenic peptide region with strong affinity for MHC-I and MHC-II, and good immunogenic potential. According to the output from the relevant tools, the peptide was predicted to be non-toxic, non-allergic and to possess the desired physicochemical properties for potentially successful vaccine production. With further investigation and optimisation, this peptide could be considered for use in the development of a broad-spectrum anti-viral vaccine that may protect against emerging new viruses. Our approach of using methods to identify candidate antigenic peptides with the desired physicochemical properties could potentially circumvent the use of some animal studies for peptide vaccine candidate evaluation.
不断演变的致病病毒变体和新病毒的出现,加强了广谱疫苗对抗这些威胁的需求。如果有针对新型病毒变体的广谱疫苗,就能有效遏制新病毒变体导致的疫情和大流行感染的传播。文献报道了针对 HIV、流感病毒和副粘病毒等在一般情况下具有非常不同抗原性的病毒,开发广谱、中和性泛抗体的情况。为了确定可能适合广谱基于肽的抗病毒疫苗开发的高度抗原性肽区域,使用了多种方法来分析用于生成一系列已批准的重组抗病毒疫苗的氨基酸序列。这是通过使用开源数据、基于算法的概率矩阵和已发表的预测工具(SVMTriP、IEDB-AR、VaxiJen 2.0、AllergenFP v. 1.0、AllerTOP v. 2.0、ToxinPred 和 ProtParam)来评估抗原性、MHC-I 和 MHC-II 结合潜力、免疫原性、变应原性、毒性和物理化学特性来实现的。我们报告了一个具有强 MHC-I 和 MHC-II 亲和力和良好免疫原性潜力的泛抗原肽区域。根据相关工具的输出,该肽被预测为无毒、无变应原性,并具有成功疫苗生产所需的理想物理化学特性。经过进一步的研究和优化,该肽可考虑用于开发广谱抗病毒疫苗,以预防新出现的病毒。我们使用 方法来识别具有所需物理化学特性的候选抗原肽的方法,可能会避免使用一些动物研究来评估肽疫苗候选物。