NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction.

ABSTRACT:

Motivation

Allergy is a pathological immune reaction towards innocuous protein antigens. Although only a narrow fraction of plant or animal proteins induce allergy, atopic disorders affect millions of children and adults and cost billions in healthcare systems worldwide. In silico predictors can aid in the development of more innocuous food sources. Previous allergenicity predictors used sequence similarity, common structural domains, and amino acid physicochemical features. However, these predictors strongly rely on sequence similarity to known allergens and fail to predict protein allergenicity accurately when similarity diminishes.

Results

To overcome these limitations, we collected allergens from AllergenOnline, a curated database of IgE-inducing allergens, carefu

SUBMITTER: Li Y 

PROVIDER: S-EPMC10603389 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature