In silico design of a novel peptide-based vaccine candidate against Streptococcus pneumoniae.

In silico pharmacology Pub Date : 2026-09-06 eCollection Date: 2026-01-01 DOI:10.1007/s40203-026-00740-2
Jahangir Sabzevari, Mona Shafaghi, Zohreh Bahadori, Zahra Nabizadeh
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Abstract

Streptococcus pneumoniae remains a leading bacterial pathogen causing pneumonia, meningitis, septicemia, and post-viral respiratory infections such as COVID-19. Despite licensed vaccines, efficacy is limited by serotype dependency, cost, and restricted coverage, highlighting the need for broad-spectrum alternatives. Protein-based vaccines with conserved antigens represent a promising strategy. This study aimed to design and evaluate an efficient peptide-based vaccine against pneumococcal virulence factors using immunoinformatics tools. Two major pneumococcal surface proteins were selected, and two immunodominant epitope-rich regions enriched in overlapping B-cell and MHC-II epitopes were identified and linked using a flexible linker. To enhance immunogenicity, human β-defensin-2 (hBD-2) was fused to the N-terminus with a rigid linker, and a His-tag was added at the C-terminus. The construct showed high predicted antigenicity (VaxiJen score: 0.917), was predicted to be non-allergenic, and exhibited favorable solubility and physicochemical properties. Structural modeling, refinement, discontinuous B-cell epitope mapping, docking with TLR4/MD2, molecular dynamics, and immune simulations were performed. The construct demonstrated favorable stability and safety, while B-cell epitope mapping indicated predicted immunogenic potential. Molecular docking predicted stable interactions with TLR4/MD2, with the top-ranked ClusPro complex showing an energy score of - 779.3. Normal mode analysis suggested structural flexibility and conformational stability of the complex. Immune simulations predicted potentially robust primary, secondary, and tertiary responses, including antibody production, memory cell generation, and IFN-γ induction. Integrating conserved immunodominant regions into a peptide-based construct with hBD-2 adjuvant through rational immunoinformatics resulted in a computationally predicted stable and immunogenic candidate that may potentially overcome serotype dependency and provide broader protection. In silico results suggest this peptide-based vaccine is a promising candidate, warranting further in vitro and in vivo validation.

Supplementary information: The online version contains supplementary material available at https://doi.org/10.1007/s40203-026-00740-2.

一种新的基于肽的抗肺炎链球菌候选疫苗的计算机设计。
肺炎链球菌仍然是导致肺炎、脑膜炎、败血症和COVID-19等病毒后呼吸道感染的主要细菌病原体。尽管已获得许可的疫苗,但效力受到血清型依赖性、成本和有限的覆盖范围的限制,这突出了对广谱替代品的需求。具有保守抗原的蛋白质疫苗是一种很有前途的策略。本研究旨在利用免疫信息学工具设计和评估一种有效的基于肽的肺炎球菌毒力因子疫苗。选择了两个主要的肺炎球菌表面蛋白,鉴定了两个富含重叠b细胞和MHC-II表位的免疫优势富集区,并使用柔性连接体连接。为了增强免疫原性,将人β-防御素-2 (hBD-2)通过刚性连接体融合到n端,并在c端添加his标签。该构建物预测抗原性高(VaxiJen评分:0.917),预测无致敏性,具有良好的溶解度和理化性质。进行了结构建模、细化、不连续b细胞表位定位、与TLR4/MD2对接、分子动力学和免疫模拟。该结构具有良好的稳定性和安全性,而b细胞表位定位显示了预测的免疫原性潜力。分子对接预测了与TLR4/MD2的稳定相互作用,其中ClusPro配合物的能量得分最高,为- 779.3。正态分析表明该配合物具有结构柔韧性和构象稳定性。免疫模拟预测了潜在的强大的初级、二级和三级反应,包括抗体产生、记忆细胞生成和IFN-γ诱导。通过合理的免疫信息学将保守的免疫优势区整合到基于肽的hBD-2佐剂构建中,从而产生了计算预测的稳定的免疫原性候选物,可能克服血清型依赖并提供更广泛的保护。计算机实验结果表明,这种基于肽的疫苗是一种有希望的候选疫苗,需要进一步的体外和体内验证。补充信息:在线版本包含补充资料,可在https://doi.org/10.1007/s40203-026-00740-2上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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