Evidence map›Paper›PMID 21420460›Full record

ArticleRegulatory toxicology and pharmacology : RTP2011

AllerML: markup language for allergens.

Ovidiu Ivanciuc, Steven M Gendel, Trevor D Power, Catherine H Schein, Werner Braun

Abstract read
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
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.

Ovidiu IvanciucSealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 310 University Boulevard, Galveston, TX 77555-0857, USA.
Steven M Gendel
Trevor D Power
Catherine H Schein
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 AI 064913NIAID NIH HHS R01 AI064913PHS HHS HHSF22320011I
6 · The paper itself

Abstract

Many concerns have been raised about the potential allergenicity of novel, recombinant proteins into food crops. Guidelines, proposed by WHO/FAO and EFSA, include the use of bioinformatics screening to assess the risk of potential allergenicity or cross-reactivities of all proteins introduced, for example, to improve nutritional value or promote crop resistance. However, there are no universally accepted standards that can be used to encode data on the biology of allergens to facilitate using data from multiple databases in this screening. Therefore, we developed AllerML a markup language for allergens to assist in the automated exchange of information between databases and in the integration of the bioinformatics tools that are used to investigate allergenicity and cross-reactivity. As proof of concept, AllerML was implemented using the Structural Database of Allergenic Proteins (SDAP; http://fermi.utmb.edu/SDAP/) database. General implementation of AllerML will promote automatic flow of validated data that will aid in allergy research and regulatory analysis.

Indexed as

Programming LanguagesAllergensComputational BiologyDatabases, ProteinPlant ProteinsRecombinant ProteinsSoftwareStructure-Activity RelationshipSystems BiologyAllergensPlant ProteinsRecombinant Proteins

Identifiers

PMID21420460
PMCPMC3100435

What OpenQuestion holds

Textmetadata
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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.