Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences

Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences

Antioxidant proteins are involved importantly in many aspects of cellular life activities. They protect the cell and DNA from oxidative substances (such as peroxide, nitric oxide, oxygen-free radicals, etc.) which are known as reactive oxygen species (ROS). Free radical generation and antioxidant de...

Full description

Bibliographic Details
Main Authors: Luu Ho Thanh Lam, Ngoc Hoang Le, Le Van Tuan, Ho Tran Ban, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Luong Huu Dang, Nguyen Quoc Khanh Le
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Biology
Subjects:
antioxidant proteins
machine learning
Random Forest
protein sequencing
feature selection
computational modeling
Online Access:https://www.mdpi.com/2079-7737/9/10/325

Similar Items

Similar Items