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利用免疫信息学方法针对乳腺炎疾病进行新型多表位疫苗的计算设计。

Computational design of a new multi-epitope vaccine using immunoinformatics approach against mastitis disease.

作者信息

Dzayee Shireen Ahmed, Khudhur Pinar Khalid, Mahmood Arshad, Markov Alexander, Maseleno Andino, Ebrahimpour Gorji Abdolvahab

机构信息

Medical Microbiology Unit, Department of Basic Sciences, College of Medicine, Hawler Medical University, Erbil, Iraq.

School of Management, University Sains Malaysia, Penang, Malaysia.

出版信息

Anim Biotechnol. 2022 Nov;33(6):1359-1370. doi: 10.1080/10495398.2021.1899937. Epub 2021 Mar 24.

DOI:10.1080/10495398.2021.1899937
PMID:33761829
Abstract

Mastitis disease causes significant economic losses in dairy farms by reducing milk production, increasing production costs, and reducing milk quality. continues to be a major cause of mastitis in dairy cattle. To date, there has been no approved multi-epitope vaccine against this pathogen in the market. In the present study, an efficient multi-epitope vaccine against , the causative agent of mastitis, was designed using various immonoinformtics approaches. Potential epitopes were from protein to improve vaccine immunogenicity. The designed vaccine is more antigenic in nature. Then, linkers and profilin adjuvant were added to enhance the immunity of vaccines. The designed vaccine was evaluated in terms of molecular weight, PI, immunogenicity, Toxicity, and allergenicity. Prediction of three-dimensional (3 D) structure of multi-epitope vaccine, followed by refinement and validation, was conducted to obtain a high-quality 3 D structure of the designed multi-epitope vaccine. The designed vaccine was then subjected to molecular docking with Toll-like receptor 11 (TLR11) receptor to evaluate its binding efficiency followed by dynamic simulation for stable interaction. cloning approach was carried out to improve the expression of the vaccine construct. These analyses indicate that the designed multi-epitope vaccine may produce particular immune responses against and may be further helpful to control mastitis after and immunological assays.

摘要

乳腺炎疾病通过降低牛奶产量、增加生产成本和降低牛奶质量给奶牛场造成了巨大的经济损失。 仍然是奶牛乳腺炎的主要病因。迄今为止,市场上还没有针对这种病原体的获批多表位疫苗。在本研究中,使用各种免疫信息学方法设计了一种针对乳腺炎病原体的高效多表位疫苗。从 蛋白中筛选潜在表位以提高疫苗免疫原性。所设计的疫苗本质上具有更高的抗原性。然后,添加接头和肌动蛋白结合蛋白佐剂以增强疫苗的免疫力。对所设计的疫苗进行了分子量、PI、免疫原性、毒性和致敏性评估。对多表位疫苗的三维(3D)结构进行预测,随后进行优化和验证,以获得所设计的多表位疫苗的高质量3D结构。然后将所设计的疫苗与Toll样受体11(TLR11)受体进行分子对接,以评估其结合效率,随后进行动态模拟以实现稳定相互作用。采用克隆方法来提高疫苗构建体的表达。这些分析表明,所设计的多表位疫苗可能会产生针对 的特定免疫反应,并且在进行 和 免疫测定后可能有助于进一步控制乳腺炎。

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