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

ABSTRACT: 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 defenses are opposing factors in the human body and the balance between them is necessary to maintain a healthy body. An unhealthy routine or the degeneration of age can break the balance, leading to more ROS than antioxidants, causing damage to health. In general, the antioxidant mechanism is the combination of antioxidant molecules and ROS in a one-electron reaction. Creating computational models to promptly identify antioxidant candidates is essential in supporting antioxidant detection experim

SUBMITTER: Ho Thanh Lam L 

PROVIDER: S-EPMC7599600 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature