Identification of Active Components for Sports Supplements: Machine Learning-Driven Classification and Cell-Based Validation
Xiaoning Ji,
Qiuyun Li,
Zhaoping Liu
et al.
Abstract:The identification of active components is critical for the development of sports supplements. However, highthroughput screening of active components remains a challenge. This study sought to construct prediction models to screen active components from herbal medicines via machine learning and validate the screening by using cell-based assays. The six constructed models had an accuracy of >0.88. Twelve randomly selected active components from the screening were tested for their active potency on C2C12 cells, a… Show more
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