Evidence map›Paper›PMID 17276876›Full record

ReviewImmunology and allergy clinics of North America2007

Bioinformatics approaches to classifying allergens and predicting cross-reactivity.

Catherine H Schein, Ovidiu Ivanciuc, Werner Braun

Abstract readReview
In one paragraph

Review in Immunology and allergy clinics of North America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 98 citations in OpenAlex.

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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.

Catherine H ScheinSealy Center for Structural Biology and Molecular Biophysics, Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0857, USA.
Ovidiu Ivanciuc
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 AI064913
6 · The paper itself

Abstract

Allergenic proteins from very different environmental sources have similar sequences and structures. This fact may account for multiple allergen syndromes, whereby a myriad of diverse plants and foods may induce a similar IgE-based reaction in certain patients. Identifying the common triggering protein in these sources, in silico, can aid designing individualized therapy for allergen sufferers. This article provides an overview of databases on allergenic proteins, and ways to identify common proteins that may be the cause of multiple allergy syndromes. The major emphasis is on the relational Structural Database of Allergenic Proteins (SDAP []), which includes cross-referenced data on the sequence, structure, and IgE epitopes of over 800 allergenic proteins, coupled with specially developed bioinformatics tools to group all allergens and identify discrete areas that may account for cross-reactivity. SDAP is freely available on the Web to clinicians and patients.

Indexed as

AllergensComputational BiologyCross ReactionsDatabases, ProteinHumansHypersensitivity, ImmediatePredictive Value of TestsProteinsAllergensProteins

Identifiers

PMID17276876
PMCPMC1941676
OpenAlexW2141204732

What OpenQuestion holds

Textmetadata
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.