AllerCatPro

AllerCatPro predicts the allergenic potential of proteins by comparing amino acid sequences and predicted 3D structures to curated allergen and non-allergen databases to assess risk of immediate immunoglobulin E (IgE)-mediated allergic responses.

Key Features:

• Comprehensive Datasets: Utilizes datasets comprising 4,979 protein allergens, 162 low allergenic proteins, and 165 autoimmune allergens curated from WHO/International Union of Immunological Societies (IUIS), COMPARE, FARRP, UniProtKB, and Allergome.
• Dual Prediction Approach: Analyzes both amino acid sequences and predicted 3D structures to detect sequence and structural similarities indicative of allergenicity.
• Sequence Alignment and Structural Modeling: Employs sequence alignment and structural modeling to compare input proteins against known allergens and non-allergens.
• Versatile Input Support: Handles diverse protein types including profilins, autoimmune allergens, low allergenic proteins, very large proteins, and accepts nucleotide input sequences.

Scientific Applications:

• Risk Assessment: Assesses allergenic risk of novel proteins in food products and personal care items for evaluation of IgE-mediated allergy potential.
• Research and Development: Investigates the allergenic potential of newly discovered proteins or engineered variants to inform biotechnology and protein engineering studies.
• Regulatory Compliance: Supports regulatory evaluation of ingredient allergenicity for food safety and consumer product assessments.

Methodology:

Sequence alignment and structural modeling of input amino acid sequences and predicted 3D structures are used to compare against curated datasets of known allergens and non-allergens.