Computer-aided key step generation in alkaloid total synthesis.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
03 Feb 2023
Historique:
entrez: 2 2 2023
pubmed: 3 2 2023
medline: 3 2 2023
Statut: ppublish

Résumé

Efficient chemical synthesis is critical to satisfying future demands for medicines, materials, and agrochemicals. Retrosynthetic analysis of modestly complex molecules has been automated over the course of decades, but the combinatorial explosion of route possibilities has challenged computer hardware and software until only recently. Here, we explore a computational strategy that merges computer-aided synthesis planning with molecular graph editing to minimize the number of synthetic steps required to produce alkaloids. Our study culminated in an enantioselective three-step synthesis of (-)-stemoamide by leveraging high-impact key steps, which could be identified in computer-generated retrosynthesis plans using graph edit distances.

Identifiants

pubmed: 36730413
doi: 10.1126/science.ade8459
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

453-457

Auteurs

Yingfu Lin (Y)

Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.

Rui Zhang (R)

Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.

Di Wang (D)

Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.

Tim Cernak (T)

Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.

Classifications MeSH