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DOI: 10.1055/a-2720-1562
Beyond Prediction: AI as a Creative Partner in Organic Synthesis
Authors
Supported by: American Cancer Society RSG-22-025-01-CDP
Supported by: NIH 1R01HG012941-01
Abstract
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Artificial intelligence (AI) has rapidly progressed from being a niche curiosity to becoming a real force in the chemical sciences. In organic synthesis, however, AI’s role is still mostly viewed in two ways: helping automate retrosynthetic planning and speeding up reaction optimization. These advances—like the retrosynthesis engine developed by Segler et al. (2018)[1] and the optimization workflows from Doyle’s group (Shields et al., 2021)[2]—have been game-changing in specific cases. But if we see AI only in these roles, we risk overlooking its bigger potential.
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Keywords
Machine learning - Artificial intelligence - Organic synthesis - Reactivity and mechanisms - Cross-domain strategies - Chemical space expansionPublication History
Received: 13 August 2025
Accepted after revision: 30 September 2025
Article published online:
05 November 2025
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