Proteomic and in silico characterization identifies conarachin as a major IgE-reactive peanut allergen

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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Publication Details

Journal
Food and Chemical Toxicology
Published
2026-02-16
DOI
https://doi.org/10.1016/j.fct.2026.116017
Primary Topic
Food Allergy and Anaphylaxis Research
Type
article
Field-Weighted Citation Impact
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article

Proteomic and in silico characterization identifies conarachin as a major IgE-reactive peanut allergen

Ouided Benslama, Hanène Djeghim, Postigo Idoia, Patricia Sánchez et al.
Food and Chemical Toxicology
Food Allergy and Anaphylaxis Research
article

Proteomic and in silico characterization identifies conarachin as a major IgE-reactive peanut allergen

Ouided Benslama, Hanène Djeghim, Postigo Idoia, Patricia Sánchez, Mikhael Bechlany, Hoda Alsaeedi, Ines Bellil, Ahmed Barhoum, Douadi Khelifi
article en

Abstract

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.

Food and Chemical ToxicologyVol. 211
University Frères Mentouri Constantine 1 (DZ), Centre National de la Recherche Scientifique (FR), University of the Basque Country (ES), King Saud University (SA), Larbi Ben M'hidi University of Oum El Bouaghi (DZ), École Normale Supérieure de Constantine (DZ), Technological University Dublin (IE), Institut Européen des Membranes (FR)
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Openalex Percentile: Top 46%
Food Allergy and Anaphylaxis Research
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