Evidence map›Paper›PMID 20981266›Full record

ArticleBioinformatics and biology insights2010

An Allergen Portrait Gallery: Representative Structures and an Overview of IgE Binding Surfaces.

Catherine H Schein, Ovidiu Ivanciuc, Terumi Midoro-Horiuti, Randall M Goldblum, Werner Braun

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Conformational IgE epitopes of peanut allergens Ara h 2 and Ara h 6.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. AllerML: markup language for allergens.Regulatory toxicology and pharmacology : RTP · 2011
    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

5 authors.

Catherine H ScheinSealy Center for Structural Biology and Molecular Biophysics.
Ovidiu Ivanciuc
Terumi Midoro-Horiuti
Randall M Goldblum
Werner Braun

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 AI064913
6 · The paper itself

Abstract

Recent progress in the biochemical classification and structural determination of allergens and allergen-antibody complexes has enhanced our understanding of the molecular determinants of allergenicity. Databases of allergens and their epitopes have facilitated the clustering of allergens according to their sequences and, more recently, their structures. Groups of similar sequences are identified for allergenic proteins from diverse sources, and all allergens are classified into a limited number of protein structural families. A gallery of experimental structures selected from the protein classes with the largest number of allergens demonstrate the structural diversity of the allergen universe. Further comparison of these structures and identification of areas that are different from innocuous proteins within the same protein family can be used to identify features specific to known allergens. Experimental and computational results related to the determination of IgE binding surfaces and methods to define allergen-specific motifs are highlighted.

Indexed as

allergen PFAM classificationallergen specific motifscross-reactiviyIgE epitopesspecific immunotherapystructural database of allergenic proteins

Identifiers

PMID20981266
PMCPMC2964044

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.