Predicting amyloid proteins using attention-based long short-term memory.

ABSTRACT: Alzheimer's disease (AD) is one of the genetically inherited neurodegenerative disorders that mostly occur when people get old. It can be recognized by severe memory impairment in the late stage, affecting cognitive function and general daily living. Reliable evidence confirms that the enhanced symptoms of AD are linked to the accumulation of amyloid proteins. The dense population of amyloid proteins forms insoluble fibrillar structures, causing significant pathological impacts in various tissues. Understanding amyloid protein's mechanisms and identifying them at an early stage plays an essential role in treating AD as well as prevalent amyloid-related diseases. Recently, although several machine learning methods proposed for amyloid protein identification have shown promising results, mos

SUBMITTER: Li Z 

PROVIDER: S-EPMC11888867 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature