Retrosynthesis has served as a playground for computer-aided design for many decades. Computer-aided methods are usually predicated on human-expert rules or learning algorithms that extract the rules from literature data. Now, an approach that bridges the gap between these computer-driven methods and the traditional, intuition-driven, ‘chalk board’ retrosynthetic methods is reported.
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References
Corey, E. J. Pure Appl. Chem. 14, 19–38 (1967).
Pensak, D. A. & Corey, E. J. in Computer-Assisted Organic Synthesis 1–32 (American Chemical Society, 1977).
Segler, M. H. S., Preuss, M. & Waller, M. P. Nature 555, 604–610 (2018).
Kowalik, M. et al. Angew. Chem. Int. Ed. 51, 7928–7932 (2012).
Zhang, P. et al. Nat. Synth. https://doi.org/10.1038/s44160-023-00271-0 (2023).
Lustosa, D. M. & Milo, A. ACS Catal. 12, 7886–7906 (2022).
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Eshel, I.L., Milo, A. Predicting synthetic viability. Nat. Synth 2, 473–474 (2023). https://doi.org/10.1038/s44160-023-00297-4
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DOI: https://doi.org/10.1038/s44160-023-00297-4