Traditional Medicine Knowledge Graphs for Drug Discovery: Cultural Context, Evidence Grading, Mechanistic Links, and Benefit-Sharing Logic

Traditional medicine knowledge has long informed natural-product research, yet its representation in computational drug discovery raises scientific, cultural, and governance challenges. Knowledge graphs may help organize heterogeneous information concerning traditional uses, botanical identity, preparation context, phytochemical composition, bioactivity, molecular targets, pathways, safety, and literature provenance. However, graph construction can also detach knowledge from its cultural setting