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从工业废料出发的药物和农用化学品可持续合成的计算机辅助设计。

Computer-Assisted Design of Sustainable Syntheses of Pharmaceuticals and Agrochemicals from Industrial Wastes.

机构信息

Équipe Chimie des Substances Naturelles, BioCIS, Université Paris-Saclay, CNRS, 92290, Châtenay-Malabry, France.

Univ Angers, Univ Brest, IRF, SFR ICAT, F-49000, Angers, France.

出版信息

ChemSusChem. 2022 Oct 10;15(19):e202201125. doi: 10.1002/cssc.202201125. Epub 2022 Aug 25.

Abstract

Computer-based strategies vastly enhanced the field of analytical chemistry. The impact of data-driven technologies in shaping organic chemistry strategies long remained comparatively elusive but various tools recently emerged to computationally plan multistep organic syntheses. A recent study elegantly takes benefit of an in-house library of chemical reactions enriched with various metadata to provide numerous, reliable and realistic organic chemistry workflows to structurally-varied drugs of interest, from locally available industrial by-products. The retrieval of the different synthetic pathways and a scoring based on different features, especially comprising sustainability considerations, are also proposed.

摘要

基于计算机的策略极大地增强了分析化学领域。数据驱动技术在塑造有机化学策略方面的影响长期以来一直相对难以捉摸,但最近出现了各种工具,可以计算规划多步有机合成。最近的一项研究巧妙地利用了一个内部化学库,该库富含各种元数据,为从当地可用的工业副产物中获得的结构多样的目标药物提供了大量可靠且现实的有机化学工作流程。还提出了检索不同合成途径和基于不同特征(特别是包含可持续性考虑因素)的评分方法。

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