Evidence map›Paper›PMID 18951633›Full record

ArticleMolecular immunology2009

Characteristic motifs for families of allergenic proteins.

Ovidiu Ivanciuc, Tzintzuni Garcia, Miguel Torres, Catherine H Schein, Werner Braun

Open access · greenAbstract read
In one paragraph

Article in Molecular immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 76 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

5 authors at 2 institutions in 1 country.

Ovidiu IvanciucSealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555-0857, United States.
Tzintzuni Garcia
Miguel Torres
Catherine H Schein
Werner Braun
The University of Texas Medical Branch at Galveston · USSouth Texas College · 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 F223200710011I
6 · The paper itself

Abstract

The identification of potential allergenic proteins is usually done by scanning a database of allergenic proteins and locating known allergens with a high sequence similarity. However, there is no universally accepted cut-off value for sequence similarity to indicate potential IgE cross-reactivity. Further, overall sequence similarity may be less important than discrete areas of similarity in proteins with homologous structure. To identify such areas, we first classified all allergens and their subdomains in the Structural Database of Allergenic Proteins (SDAP, http://fermi.utmb.edu/SDAP/) to their closest protein families as defined in Pfam, and identified conserved physicochemical property motifs characteristic of each group of sequences. Allergens populate only a small subset of all known Pfam families, as all allergenic proteins in SDAP could be grouped to only 130 (of 9318 total) Pfams, and 31 families contain more than four allergens. Conserved physicochemical property motifs for the aligned sequences of the most populated Pfam families were identified with the PCPMer program suite and catalogued in the webserver MotifMate (http://born.utmb.edu/motifmate/summary.php). We also determined specific motifs for allergenic members of a family that could distinguish them from non-allergenic ones. These allergen specific motifs should be most useful in database searches for potential allergens. We found that sequence motifs unique to the allergens in three families (seed storage proteins, Bet v 1, and tropomyosin) overlap with known IgE epitopes, thus providing evidence that our motif based approach can be used to assess the potential allergenicity of novel proteins.

Indexed as

AllergensAmino Acid MotifsComputational BiologyCross ReactionsDatabases, ProteinEpitopesHumansImmunoglobulin EInformation Storage and RetrievalProtein Structure, TertiarySequence Homology, Amino AcidSoftwareStructure-Activity RelationshipAllergensEpitopesImmunoglobulin E

Identifiers

PMID18951633
PMCPMC2631092
OpenAlexW2091912939

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.