Evidence map›Paper›PMID 37781674›Full record

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.

Surendra S Negi, Catherine H Schein, Werner Braun

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  5. FAD: a comprehensive database merging information about food allergens.Database : the journal of biological databases and curation · 2026
    Article
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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

3 authors at 1 institution in 1 country.

Surendra S NegiSealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, Tex.
Catherine H ScheinInstitute for Human Infections and Immunity, The University of Texas Medical Branch, Galveston, Tex.
Werner BraunSealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, Tex.
The University of Texas Medical Branch at Galveston · US

Funding

Exploiting and enhancing IgE-binding epitopes of the 2S albumins of peanuts and tree nutsR01AI165866 · NIAID · UNIVERSITY OF COLORADO DENVER · PI STEPHEN C DRESKIN · 2021 to 2026
$4.2M
A new deep learning approach to probe the molecular basis of inhalation allergensR21AI193195 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRAUN, WERNER A, MIDORO-HORIUTI, TERUMI · 2025 to 2025
$440k
Prediction and Classification of Allergenicity in a Protein FamilyR21AI109090 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRAUN, WERNER A · 2014 to 2015
$440k
NIAID NIH HHS R01 AI165866NIAID NIH HHS R21 AI109090NIAID NIH HHS R21 AI193195
6 · The paper itself

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.

Indexed as

cross-reactivitydatabase of allergensIgE bindingphysical-chemical property distance (PD)Protein evaluation for allergenicity

Identifiers

PMID37781674
PMCPMC10509899
OpenAlexW4385755961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.