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Recent advancements in allergen prediction tools, such as the web-based application ALLERDET, AllerCatPro, AllergenFP, and AllerTOP, leverage machine learning techniques to improve the accuracy of protein allergen detection. By combining sequence alignment methods like FASTA with Deep Learning models, ALLERDET achieves high sensitivity and specificity in predicting food allergens, outperforming many existing tools.[1]
References
edit- ^ Garcia-Moreno, Francisco M.; Gutiérrez-Naranjo, Miguel A. (2022-11-01). "ALLERDET: A novel web app for prediction of protein allergenicity". Journal of Biomedical Informatics. 135: 104217. doi:10.1016/j.jbi.2022.104217. ISSN 1532-0464. PMID 36244612.