Traditional Chinese Medicine (TCM), with its extensive knowledge base documented in ancient texts, offers a unique resource for contemporary drug discovery, particularly in combatting microbial infections. The success of antimalarial drugs like artemisinin and artesunate, derived from the TCM herb Artemisia annua L., exemplifies the potential of TCM-derived small molecules. This rich repository of natural products and intricate molecular structures could reveal novel compounds with unexplored mechanisms of action. Our study employs a multifaceted approach that combines text mining, detailed textual analysis, and modern antibacterial molecular prediction methodologies to unlock the potential of ancient TCM remedies. We use external knowledge maps, which include databases of known bioactive compounds and their targets, to identify promising TCM candidates. This approach leverages both historical texts and contemporary scientific data to explore the therapeutic potential of TCM. We discovered that herb patterns DiYu→ZeXie and Kushen→ShengJiang potentially combat both Grams-positive and Grams-negative bacteria. We utilized the AntiBac-Pred online tool to identify and analyze the chemical components of herbs, integrating data from ancient texts and TCMDB@Taiwan external knowledge graph. The DiYu→ZeXie groups showed antimicrobial potential against resistant Staphylococcus simulans, while the Kushen→ShengJiang groups exhibited dual antimicrobial effects against Bacillus subtilis. Exploring TCM’s extensive repository offers numerous opportunities for discovering therapeutically active compounds. Our synergistic approach, which combines ancient wisdom with modern science, holds significant promise for enhancing our ability to combat infectious diseases. This method could pave the way for a new era of personalized medicine, addressing the urgent need for innovative treatments against multidrug-resistant bacteria and viruses.

Colorectal cancer (CRC) is a common cancer globally, and chemotherapy often causes severe complications, necessitating effective drugs with minimal side effects. As Areca catechu L. extract (ACE) is a Traditional Chinese Medicine that contains numerous active compounds with anticancer effects, in this study, the Cell Counting Kit-8 (CCK-8) assay was used to determine ACE’s effect on CRC cell lines, revealing that it significantly inhibits CoLo320DM and HCT116 cells. In vivo experiments with NU-Foxn1nu mice indicated that ACE inhibits tumor growth, while a flow cytometry assay revealed that higher ACE concentrations increased cell apoptosis and ROS levels. Next-generation sequencing (NGS) showed that ACE increases the fold changes in apoptosis, DNA damage, and autophagy-related genes while inhibiting the fold changes in cell proliferation and Wnt signaling pathway genes. We conducted Western blotting to confirm these findings. Overall, ACE demonstrates potential as a drug candidate by promoting apoptosis and autophagy, and significantly reducing cell viability and tumor growth, thus offering a new approach for effective colorectal cancer treatment with minimal side effects.