A Novel Machine Learning Strategy for the Prediction of Antihypertensive Peptides Derived from Food with High Efficiency

A Novel Machine Learning Strategy for the Prediction of Antihypertensive Peptides Derived from Food with High Efficiency

Strategies to screen antihypertensive peptides with high throughput and rapid speed will doubtlessly contribute to the treatment of hypertension. Food-derived antihypertensive peptides can reduce blood pressure without side effects. In the present study, a novel model based on the eXtreme Gradient B...

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Bibliographic Details
Main Authors: Liyang Wang, Dantong Niu, Xiaoya Wang, Jabir Khan, Qun Shen, Yong Xue
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Foods
Subjects:
antihypertensive peptides
XGBoost algorithm
peptide–protein technology
milk protein
high throughput
high efficiency
Online Access:https://www.mdpi.com/2304-8158/10/3/550

Internet

https://www.mdpi.com/2304-8158/10/3/550

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