A Novel LSTM-Based Machine Learning Model for Predicting the Activity of Food Protein-Derived Antihypertensive Peptides

A Novel LSTM-Based Machine Learning Model for Predicting the Activity of Food Protein-Derived Antihypertensive Peptides

Food protein-derived antihypertensive peptides are a representative type of bioactive peptides. Several models based on partial least squares regression have been constructed to delineate the relationship between the structure and activity of the peptides. Machine-learning-based models have been app...

Full description

Bibliographic Details
Main Authors: Wang Liao, Siyuan Yan, Xinyi Cao, Hui Xia, Shaokang Wang, Guiju Sun, Kaida Cai
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Molecules
Subjects:
antihypertensive peptides
structure–activity relationship
machine learning
LSTM algorithm
Online Access:https://www.mdpi.com/1420-3049/28/13/4901

Similar Items

Similar Items