ProAll-D: protein allergen detection using long short term memory - a deep learning approach.

ABSTRACT:

Background

An allergic reaction is the immune system's overreacting to a previously encountered, typically benign molecule, frequently a protein. Allergy reactions can result in rashes, itching, mucous membrane swelling, asthma, coughing, and other bizarre symptoms. To anticipate allergies, a wide range of principles and methods have been applied in bioinformatics. The sequence similarity approach's positive predictive value is very low and ineffective for methods based on FAO/WHO criteria, making it difficult to predict possible allergens.

Method

This work advocated the use of a deep learning model LSTM (Long Short-Term Memory) to overcome the limitations of traditional approaches and machine learning lower performance models in predicting the allergenicity of dietary prote

SUBMITTER: Shanthappa PM 

PROVIDER: S-EPMC9484702 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature