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基于多表位的疫苗设计及其通过综合计算方法的验证。

Designing of a multi-epitopes based vaccine against and its validation through integrated computational approaches.

机构信息

Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan.

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan.

出版信息

Front Immunol. 2024 Apr 16;15:1380732. doi: 10.3389/fimmu.2024.1380732. eCollection 2024.

Abstract

is a Gram-negative opportunist pathogen within the mucus of the nose and mouth without significant symptoms and has an ability to cause various infections ranging from ear, eye, and sinus to pneumonia. A concerning development is the increasing resistance of to beta-lactam antibiotics, with the potential to cause dental infections or abscesses. The principal objective of this investigation is to utilize bioinformatics and immuno-informatic methodologies in the development of a candidate multi-epitope Vaccine. The investigation focuses on identifying potential epitopes for both B cells (B lymphocytes) and T cells (helper T lymphocytes and cytotoxic T lymphocytes) based on high non-toxic and non-allergenic characteristics. The selection process involves identifying human leukocyte antigen alleles demonstrating strong associations with recognized antigenic and overlapping epitopes. Notably, the chosen alleles aim to provide coverage for 90% of the global population. Multi-epitope constructs were designed by using suitable linker sequences. To enhance the immunological potential, an adjuvant sequence was incorporated using the EAAAK linker. The final vaccine construct, comprising 344 amino acids, was achieved after the addition of adjuvants and linkers. This multi-epitope Vaccine demonstrates notable antigenicity and possesses favorable physiochemical characteristics. The three-dimensional conformation underwent modeling and refinement, validated through methods. Additionally, a protein-protein molecular docking analysis was conducted to predict effective binding poses between the multi-epitope Vaccine and the Toll-like receptor 4 protein. The Molecular Dynamics (MD) investigation of the docked TLR4-vaccine complex demonstrated consistent stability over the simulation period, primarily attributed to electrostatic energy. The docked complex displayed minimal deformation and enhanced rigidity in the motion of residues during the dynamic simulation. Furthermore, codon translational optimization and computational cloning was performed to ensure the reliability and proper expression of the multi-Epitope Vaccine. It is crucial to emphasize that despite these computational validations, experimental research in the laboratory is imperative to demonstrate the immunogenicity and protective efficacy of the developed vaccine. This would involve practical assessments to ascertain the real-world effectiveness of the multi-epitope Vaccine.

摘要

是一种革兰氏阴性机会性病原体,存在于鼻腔和口腔的黏液中,没有明显的症状,但有能力引起各种感染,从耳朵、眼睛和鼻窦到肺炎。一个令人担忧的发展是对β-内酰胺类抗生素的耐药性不断增加,有可能导致牙齿感染或脓肿。本研究的主要目的是利用生物信息学和免疫信息学方法开发一种候选多表位疫苗。该研究的重点是根据高无毒和非变应原性特征,为 B 细胞(B 淋巴细胞)和 T 细胞(辅助 T 淋巴细胞和细胞毒性 T 淋巴细胞)识别潜在的表位。选择过程包括识别与公认的抗原和重叠表位有强烈关联的人类白细胞抗原等位基因。值得注意的是,所选等位基因旨在为全球 90%的人口提供覆盖。多表位构建体是使用合适的接头序列设计的。为了增强免疫潜力,使用 EAAAK 接头将一个佐剂序列掺入。在添加佐剂和接头后,最终的疫苗构建体由 344 个氨基酸组成。该多表位疫苗表现出显著的抗原性,并具有良好的物理化学特性。三维构象经过建模和细化,通过 方法进行验证。此外,还进行了蛋白质-蛋白质分子对接分析,以预测多表位疫苗与 Toll 样受体 4 蛋白之间的有效结合构象。对接 TLR4-疫苗复合物的分子动力学(MD)研究表明,在模拟期间,复合物具有一致的稳定性,主要归因于静电能。对接复合物在动态模拟过程中显示出最小的变形和增强的残基运动刚性。此外,进行了密码子翻译优化和计算克隆,以确保多表位疫苗的可靠性和正确表达。必须强调的是,尽管进行了这些计算验证,但在实验室中进行实验研究对于证明所开发疫苗的免疫原性和保护效力至关重要。这将涉及实际评估,以确定多表位疫苗的实际效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/11058264/95806c38f98e/fimmu-15-1380732-g001.jpg

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