FAD: a comprehensive database merging information about food allergens.

Wafa Mokhtari, Souad Khemili-Talbi, Jean Kwasigroch, Dimitri Gilis

Abstract read

In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wafa MokhtariComputational Biology and Bioinformatics Lab, École polytechnique de Bruxelles, Université libre de Bruxelles, Avenue F.D Roosevelt 50, 1000 Brussels, Belgium.

Souad Khemili-TalbiLaboratory of Bioinformatics, Applied Microbiology and Biomolecules (BMAB), Department of Nature and Life Sciences and Department of Agronomy, M'Hamed Bougara University of Boumerdes, Avenue de l'independance, 35000 Boumerdes, Algeria.

Jean KwasigrochComputational Biology and Bioinformatics Lab, École polytechnique de Bruxelles, Université libre de Bruxelles, Avenue F.D Roosevelt 50, 1000 Brussels, Belgium.

Dimitri GilisComputational Biology and Bioinformatics Lab, École polytechnique de Bruxelles, Université libre de Bruxelles, Avenue F.D Roosevelt 50, 1000 Brussels, Belgium.ORCID 0000-0001-9009-9996

Funding

European Regional Development Fund WAL'PROT_6_ULB_digital tools No. 618European Regional Development Fund WAL'PROT No. 55Experimental Studies and Bioinformatics of Biomolecules of Biotechnological Interest DOOLO5UN350120220001Wallonie-Bruxelles InternationalWalloon Region

6 · The paper itself

Abstract

Food allergies represent a significant and growing global challenge. However, researchers and risk assessors still lack a dedicated and comprehensive resource that centralizes food allergen information. As a result, obtaining the necessary structural, biochemical, and immunological data often requires time-consuming searches across multiple heterogeneous databases, hindering efficient analysis and slowing scientific progress. The Food Allergen Database (FAD) merges biochemical, structural, immunological, and functional properties of all known food allergens and isoallergens (1168 entries). It is an essential resource that facilitates the extraction of all information about food allergens.

Indexed as

AllergensDatabases, FactualFood HypersensitivityBiocurationHumansAllergens

Identifiers

PMID42200360

DOI10.1093/database/baag028

PMCPMC13213374

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.