Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bioinformatic methods for allergenicity assessment using a comprehensive allergen database.

Ronald E Hileman1, Andre Silvanovich, Richard E Goodman

  • 1Monsanto Company, Product Safety Center, St. Louis, Mo., USA.

International Archives of Allergy and Immunology
|September 10, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

New Allergens Approved by the WHO/IUIS Allergen Nomenclature Sub-Committee in 2021-2024 and Their Significance for Future Diagnostics, Regulation, and Research. An EAACI Task Force Report.

Allergy·2025
Same author

<i>Broussonetia papyrifera</i> Pollen Metabolome Insights, Allergenicity, and Dispersal in Response to Climate Change Variables.

Metabolites·2025
Same author

Evaluation of the potential food allergy risks of human lactoferrin expressed in <i>Komagataella phaffii</i>.

Frontiers in immunology·2024
Same author

In silico evaluation of the potential allergenicity of a fungal biomass from Rhizomucor pusillus for use as a novel food ingredient.

Regulatory toxicology and pharmacology : RTP·2024
Same author

Twenty-eight years of GM Food and feed without harm: why not accept them?

GM crops & food·2024
Same author

Toxicology and digestibility of Chlamydomonas debaryana green algal biomass.

Journal of applied toxicology : JAT·2023

Bioinformatic tools can identify potential allergens in genetically modified crops. The FASTA algorithm is most predictive, but an 8-amino acid match offers enhanced safety for allergenicity assessment.

Area of Science:

  • Agricultural biotechnology
  • Food safety
  • Bioinformatics

Background:

  • Assessing genetically modified (GM) crops for allergens is crucial for food safety.
  • Preventing the introduction of known or cross-reactive allergens is a primary goal.
  • Bioinformatic tools and allergen databases aid in this safety assessment.

Purpose of the Study:

  • To evaluate the effectiveness of current bioinformatic tools in identifying potential allergens.
  • To analyze Bacillus thuringiensis insecticidal proteins, food proteins, and corn proteins for allergenicity.
  • To compare different criteria for assessing protein sequence similarity to known allergens.

Main Methods:

  • Protein sequences were analyzed using the FASTA algorithm.
  • Searches were conducted for matches of 6, 7, or 8 contiguous identical amino acids.

Related Experiment Videos

  • Structural similarity was assessed based on percentage identity and overlap length.

    • Main Results:

    • No significant similarities were found for Bacillus thuringiensis or food proteins using 8-amino acid matches.
    • A high number of corn proteins (41/50) matched known allergens with 6 contiguous amino acids.
    • Only 7 corn proteins matched allergens with 8 contiguous amino acids, with 6 showing significant structural similarity.

    Conclusions:

    • The FASTA algorithm is the most reliable predictor of clinically relevant cross-reactive allergens.
    • An 8-amino acid match provides an additional safety margin for allergenicity assessment.
    • A 6-amino acid match window generates numerous irrelevant, random matches.