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Deep learning can guide the design of novel metabolic pathways by distinguishing plausible biochemical reactions from artificial ones.
Forget end-to-end molecular design; this retrieval-augmented model lets you steer analog generation with prompts and external references, mimicking medicinal chemists' intuition.
