Synlett
DOI: 10.1055/a-2720-1562
Perspectives

Beyond Prediction: AI as a Creative Partner in Organic Synthesis

Authors

  • Tuan B. Vinh

    1   Department of Chemistry, Emory University, Atlanta, GA, United States (Ringgold ID: RIN1371)
  • Tao Li

    2   Department of Computer Science, Emory University, Atlanta, GA, United States (Ringgold ID: RIN1371)
  • Carl Yang

    2   Department of Computer Science, Emory University, Atlanta, GA, United States (Ringgold ID: RIN1371)
  • Monika Raj

    1   Department of Chemistry, Emory University, Atlanta, GA, United States (Ringgold ID: RIN1371)

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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Publication History

Received: 13 August 2025

Accepted after revision: 30 September 2025

Article published online:
05 November 2025

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