Evidence map›Paper›PMID 19121639›Full record

ReviewRegulatory toxicology and pharmacology : RTP2009

Structural analysis of linear and conformational epitopes of allergens.

Ovidiu Ivanciuc, Catherine H Schein, Tzintzuni Garcia, Numan Oezguen, Surendra S Negi, Werner Braun

Abstract readReview
In one paragraph

Review in Regulatory toxicology and pharmacology : RTP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 43 citations in OpenAlex.

  1. DHFR2 RNA directly regulates dihydrofolate reductase and its expression level impacts folate one carbon metabolism.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  4. Review
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  14. AllerML: markup language for allergens.Regulatory toxicology and pharmacology : RTP · 2011
    Article
  15. Article
  16. Food safety.Clinical reviews in allergy & immunology · 2010
    Review
  17. Article
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

6 authors at 1 institution in 1 country.

Ovidiu IvanciucSealy Center for Structural Biology and Molecular Biophysics, Departments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555-0857, USA.
Catherine H Schein
Tzintzuni Garcia
Numan Oezguen
Surendra S Negi
Werner Braun
The University of Texas Medical Branch at Galveston · US

Funding

Computational tools for T- and B-cell epitope predictionR01AI064913 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI BRAUN, WERNER A · 2005 to 2010
$1.6M
NIAID NIH HHS R01 AI 064913NIAID NIH HHS R01 AI064913PHS HHS HHSF223200710011I
6 · The paper itself

Abstract

In many countries regulatory agencies have adopted safety guidelines, based on bioinformatics rules from the WHO/FAO and EFSA recommendations, to prevent potentially allergenic novel foods or agricultural products from reaching consumers. We created the Structural Database of Allergenic Proteins (SDAP, http://fermi.utmb.edu/SDAP/) to combine data that had previously been available only as flat files on Web pages or in the literature. SDAP was designed to be user friendly, to be of maximum use to regulatory agencies, clinicians, as well as to scientists interested in assessing the potential allergenic risk of a protein. We developed methods, unique to SDAP, to compare the physicochemical properties of discrete areas of allergenic proteins to known IgE epitopes. We developed a new similarity measure, the property distance (PD) value that can be used to detect related segments in allergens with clinical observed cross-reactivity. We have now expanded this work to obtain experimental validation of the PD index as a quantitative predictor of IgE cross-reactivity, by designing peptide variants with predetermined PD scores relative to known IgE epitopes. In complementary work we show how sequence motifs characteristic of allergenic proteins in protein families can be used as fingerprints for allergenicity.

Indexed as

AllergensAmino Acid MotifsAmino Acid SequenceDatabases, ProteinEpitopesMolecular Sequence DataProtein ConformationProteinsWorld Health OrganizationAllergensEpitopesProteins

Identifiers

PMID19121639
PMCPMC2716428
OpenAlexW1981176433

What OpenQuestion holds

Textmetadata
LicenceTDM
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.