Youyuan Li

TRACER navigates rearrangement-driven sesterterpene chemical space via multimodal enzyme-product representation learning

TRACER (terpene rearrangement annotation via co-attentive enzyme-product representation), a multimodal framework mapping the latent associations between sequence-derived enzyme representations and product chemotypes, establishes a predictive paradigm for the rational discovery and mechanistic elucidation of complex terpene architectures.