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Related Concept Videos

Allergic Reactions: Anaphylaxis01:30

Allergic Reactions: Anaphylaxis

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Related Experiment Video

Updated: Jun 3, 2026

Murine Model of Allergen Induced Asthma
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Published on: May 14, 2012

AllerML: markup language for allergens.

Ovidiu Ivanciuc1, Steven M Gendel, Trevor D Power

  • 1Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 310 University Boulevard, Galveston, TX 77555-0857, USA.

Regulatory Toxicology and Pharmacology : RTP
|March 23, 2011
PubMed
Summary
This summary is machine-generated.

Concerns about novel food crop proteins necessitate standardized allergenicity assessment. Allergen Markup Language (AllerML) facilitates data exchange for bioinformatics screening, improving allergy research and regulatory analysis.

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Last Updated: Jun 3, 2026

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Removal and Replacement of Endogenous Ligands from Lipid-Bound Proteins and Allergens

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Area of Science:

  • Food safety and biotechnology
  • Bioinformatics and computational biology
  • Immunology and allergy research

Background:

  • Novel recombinant proteins in food crops raise concerns about potential allergenicity.
  • International guidelines (WHO/FAO, EFSA) recommend bioinformatics screening for allergenicity and cross-reactivity assessment.
  • Lack of standardized data encoding hinders integration of allergen information across databases.

Purpose of the Study:

  • To develop a standardized markup language for allergens to facilitate automated data exchange.
  • To enable integration of bioinformatics tools for allergenicity and cross-reactivity assessment.
  • To support allergy research and regulatory analysis through improved data accessibility.

Main Methods:

  • Development of Allergen Markup Language (AllerML).
  • Implementation of AllerML using the Structural Database of Allergenic Proteins (SDAP).
  • Proof-of-concept demonstration of automated information exchange and tool integration.

Main Results:

  • AllerML provides a standardized format for encoding allergen-specific biological data.
  • The AllerML implementation with SDAP demonstrates successful automated data exchange.
  • Facilitates integration of diverse bioinformatics tools for allergenicity screening.

Conclusions:

  • AllerML addresses the need for standardized data in allergen assessment.
  • Widespread adoption of AllerML will streamline allergy research and regulatory processes.
  • Enables more efficient and reliable evaluation of potential allergenicity in novel proteins.