生物信息学
表位
过敏原
对接(动物)
计算生物学
化学
免疫球蛋白E
表位定位
肽
生物
生物化学
血浆蛋白结合
同源建模
花生过敏
蛋白质组学
结合位点
交叉反应性
过敏
作者
Hanène Djeghim,Ouided Benslama,Ines Bellil,Postigo Idoia,Patricia Sánchez,Douadi Khelifi,Hoda Alsaeedi,Mikhael Bechlany,Ahmed Barhoum
标识
DOI:10.1016/j.fct.2026.116017
摘要
Peanut allergy is a major health issue, and detailed molecular insights are essential to understand allergenicity. In this study, an integrated immunoproteomic and in silico docking workflow was applied to characterize allergens from six Algerian peanut varieties. Protein profiling by 2-DE (pI 4.8-10.1, 9-68 kDa), followed by immunoblotting, revealed strong IgE binding to low-molecular-weight proteins (20-25 kDa). Sixteen distinct protein spots were excised and analyzed by LC-MS/MS, identifying key allergens including Ara h 1, Ara h 2, Ara h 3, and Ara h 6, with peptide coverages ranging from 34% (Ara h 1) to 70% (Ara h 2). Four highly reactive allergens were prioritized, and nine were further investigated through molecular docking against the human IgE receptor. Computational analyses uncovered novel epitope interactions, with conarachin (Q647H1) emerging as the strongest binder (cluster score -625.4), showing stable contacts at epitopes 26-50, 112-151, and 185-491. Chain-specific docking highlighted high affinity toward both IgE heavy and light chains, underlining its structural adaptability.
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