Fig. 6
From: Cancer chemoprevention: signaling pathways and strategic approaches
Research strategies for the discovery of low-abundance and high anticancer activity natural compound. Here we simply show through constructing the database via literature search and experience inheritance, omics technologies integration method based on molecular network construction at different levels of each omics, and AI (machine learning and deep learning)-driven assist the discovery of low-abundance and high anticancer activity natural compound. The ultimate goal of data integration is to discover low-abundance and high-activity anticancer components from complex natural product system and elucidate their biological significance. This figure was created with BioRender.com
