Antioxidants are molecules that can prevent damages to cells caused by free radicals. Recent studies also
demonstrated that antioxidants play roles in preventing diseases. However, the number of known molecules with
antioxidant activity is very small. Therefore, it is necessary to identify antioxidants from various resources. In the
past several years, a series of computational methods have been proposed to identify antioxidants. In this review, we
briefly summarized recent advances in computationally identifying antioxidants. The challenges and future perspectives
for identifying antioxidants were also discussed. We hope this review will provide insights into researches on
Keywords: Antioxidant, free radical, diseases, sequence encoding scheme, machine learning methods, molecules.
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