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CP91110P:一种通过TLR-2/4协同免疫调节作用进行计算机设计的结核病多表位疫苗候选物。

CP91110P: A Computationally Designed Multi-Epitope Vaccine Candidate for Tuberculosis via TLR-2/4 Synergistic Immunomodulation.

作者信息

An Yajing, Ali Syed Luqman, Liu Yanhua, Abduldayeva Aigul, Ni Ruizi, Li Yufeng, Zhang Mingming, Tian Yuan, Jiang Lina, Gong Wenping

机构信息

Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing 100091, China.

Graduate School, Hebei North University, Zhangjiakou 075000, China.

出版信息

Biology (Basel). 2025 Sep 5;14(9):1196. doi: 10.3390/biology14091196.

Abstract

: Tuberculosis (TB) remains a global health priority, with current interventions like the Bacille Calmette-Guérin (BCG) vaccine lacking efficacy against latent infection and drug-resistant strains. Novel vaccines targeting both latent and active TB are urgently needed. : This study aims to design a multi-epitope vaccine (MEV) and evaluate its immunogenicity, structural stability, and interactions with toll-like receptor 2/4 (TLR-2/4) via computational biology approaches. : We designed MEV using bioinformatics tools, prioritizing immunodominant epitopes from antigens. Structural stability was optimized through disulfide engineering, and molecular docking/dynamics simulations were used to analyze interactions and conformational dynamics with TLR-2/4. Antigenicity, immunogenicity, population coverage, and immune responses were computationally assessed. : The MEV candidate, CP91110P, exhibited 86.18% predicted global human leukocyte antigen (HLA)-I/II coverage, high antigenicity (VaxiJen: 0.8789), and immunogenicity (IEDB: 4.40091), with favorable stability (instability index: 33.48) and solubility (0.485). Tertiary structure analysis indicated that 98.34% residues were located in favored regions. Molecular docking suggested strong TLR-2 (-1535.9 kcal/mol) and TLR-4 (-1672.5 kcal/mol) binding. Molecular dynamics simulations indicated stable TLR-2 interactions (RMSD: 6-8 Å; Rg: 38.50-39.50 Å) and flexible TLR-4 binding (RMSD: 2-6 Å; Rg: 33-36 Å). Principal component analysis, free energy landscapes, and dynamic cross-correlation matrix analyses highlighted TLR-2's structural coherence versus TLR-4's adaptive flexibility. Immune simulations predicted potential robust natural killer cell activation, T helper 1 polarization (interferon-gamma/interleukin-2 dominance), and elevated IgM/IgG levels. : CP91110P is predicted to stably bind to TLR-2 and flexibly interact with TLR-4, with prediction of its high antigenicity and broad coverage across immune populations. However, this conclusion requires confirmation through experimental validation. Therefore, it may provide a promising candidate for experimental validation in the development of tuberculosis vaccines.

摘要

结核病(TB)仍然是全球卫生重点问题,目前的干预措施,如卡介苗(BCG)疫苗,对潜伏感染和耐药菌株缺乏疗效。迫切需要针对潜伏性和活动性结核病的新型疫苗。

本研究旨在设计一种多表位疫苗(MEV),并通过计算生物学方法评估其免疫原性、结构稳定性以及与Toll样受体2/4(TLR-2/4)的相互作用。

我们使用生物信息学工具设计MEV,优先选择来自抗原的免疫显性表位。通过二硫键工程优化结构稳定性,并使用分子对接/动力学模拟分析与TLR-2/4的相互作用和构象动力学。通过计算评估抗原性、免疫原性、人群覆盖率和免疫反应。

MEV候选物CP91110P显示出预测的全球人类白细胞抗原(HLA)-I/II覆盖率为86.18%,具有高抗原性(VaxiJen:0.8789)和免疫原性(IEDB:4.40091),具有良好的稳定性(不稳定指数:33.48)和溶解度(0.485)。三级结构分析表明98.34%的残基位于有利区域。分子对接表明与TLR-2(-1535.9千卡/摩尔)和TLR-4(-1672.5千卡/摩尔)有强结合。分子动力学模拟表明TLR-2相互作用稳定(均方根偏差:6-8埃;回旋半径:38.50-39.50埃),而TLR-4结合具有灵活性(均方根偏差:2-6埃;回旋半径:33-36埃)。主成分分析、自由能景观和动态交叉相关矩阵分析突出了TLR-2的结构连贯性与TLR-4的适应性灵活性。免疫模拟预测了潜在的强大自然杀伤细胞激活、辅助性T细胞1极化(干扰素-γ/白细胞介素-2占主导)以及IgM/IgG水平升高。

预计CP91110P与TLR-2稳定结合,与TLR-4灵活相互作用,预测其具有高抗原性且在免疫人群中具有广泛覆盖率。然而,这一结论需要通过实验验证来证实。因此,它可能为结核病疫苗开发中的实验验证提供一个有前景的候选物。

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