ArticleThe journal of allergy and clinical immunology. Global2023
The updated Structural Database of Allergenic Proteins (SDAP 2.0) provides 3D models for allergens and incorporated bioinformatics tools.
Article in The journal of allergy and clinical immunology. Global, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Allergenicity Assessment of Plant-Derived Sweet Proteins-In Silico, In Vitro, In Vivo, and Clinical Approach: A Systematic Review.Molecules (Basel, Switzerland) · 2026Pooled it
- Microbial fermentation as a strategy for the abatement of peanut allergens.Applied and environmental microbiology · 2026Review
- B-cell epitope prediction in the age of machine learning: advancements and challenges.Journal of translational medicine · 2026Review
- Pathogen-specific IgE-reactive cytosolic allergenic epitopes of Aspergillus fumigatus for immunodiagnostic/immunotherapeutic applications against allergic aspergillosis.Annals of clinical microbiology and antimicrobials · 2026Article
- FAD: a comprehensive database merging information about food allergens.Database : the journal of biological databases and curation · 2026Article
- Current challenges in allergic diseases and computational solutions towards personalized medicine.Frontiers in allergy · 2026Review
- IgE Anti-Beta Coronaviruses Serology in Napoleon Soldiers, France.Journal of medical virology · 2026Article
- AllergenAI: a deep learning model predicting allergenicity based on protein sequence.BMC bioinformatics · 2025Article
- Fine resolution of the N-terminal IgE-binding epitope of Ara h 2: Discovery of variants with enhanced IgE binding.The Journal of allergy and clinical immunology · 2025Article
- AllergyPred: a web server for allergen prediction.Nucleic acids research · 2025Article
- Food Allergenicity Evaluation Methods: Classification, Principle, and Applications.Foods (Basel, Switzerland) · 2025Review
- Integrating machine learning to advance epitope mapping.Frontiers in immunology · 2024Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Background: Allergenic proteins can cause IgE-mediated adverse reactions in sensitized individuals. Although the sequences of many allergenic proteins have been identified, bioinformatics data analysis with advanced computational methods and modeling is needed to identify the basis for IgE binding and cross-reactivity. Objective: We aim to present the features and use of the updated Structural Database of Allergenic Proteins 2.0 (SDAP 2.0) webserver, a unique, publicly available resource to compare allergens using specially designed computational tools and new high-quality 3-D models for most known allergens. Methods: Previously developed and novel software tools for identifying cross-reactive allergens using sequence and structure similarity are implemented in SDAP 2.0. A comprehensive set of high-quality 3-D models of most allergens was generated with the state-of-the-art AlphaFold 2 software. A graphics tool enables the interactive visualization of IgE epitopes on experimentally determined and modeled 3-D structures. Results: A user can search for allergens similar to a given input sequence with the FASTA algorithm or the window-based World Health Organization/International Union of Immunological Societies (WHO/IUIS) guidelines on safety concerns of novel food products. Peptides similar to known IgE epitopes can be identified with the property distance tool and conformational epitopes by the Cross-React method. The updated database contains 1657 manually curated sequences including all allergens from the IUIS database, 334 experimentally determined X-ray or NMR structures, and 1565 3-D models. Each allergen/isoallergen is classified according to its protein family. Conclusions: SDAP provides access to the steadily increasing information on allergenic structures and epitopes with integrated bioinformatics tools to identify and analyze their similarities. In addition to serving the research and regulatory community, it provides clinicians with tools to identify potential coallergies in a sensitive patient and can help companies to design hypoallergenic foods and immunotherapies.
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