AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

• Published in: Scientific reports Vol. 12; no. 1; p. 7697
• Main Authors: Charoenkwan, Phasit, Ahmed, Saeed, Nantasenamat, Chanin, Quinn, Julian M. W., Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.05.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/114/1305; 631/114/2397; Aggregates; Algorithms; Alzheimer's disease; Amyloidogenic Proteins; Bioinformatics; Computational Biology - methods; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2; Humanities and Social Sciences; Humans; Machine Learning; Movement disorders; multidisciplinary; Neurodegenerative diseases; Parkinson's disease; Proteins; Science; Science (multidisciplinary); Support Vector Machine

Amyloid proteins have the ability to form insoluble fibril aggregates that have important pathogenic effects in many tissues. Such amyloidoses are prominently associated with common diseases such as type 2 diabetes, Alzheimer's disease, and Parkinson's disease. There are many types of amyl...