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计算机设计将化学废料重新用于制药。

Computer-designed repurposing of chemical wastes into drugs.

机构信息

Allchemy, Highland, IN, USA.

Institute of Organic Chemistry, Polish Academy of Sciences, Warsaw, Poland.

出版信息

Nature. 2022 Apr;604(7907):668-676. doi: 10.1038/s41586-022-04503-9. Epub 2022 Apr 27.

Abstract

As the chemical industry continues to produce considerable quantities of waste chemicals, it is essential to devise 'circular chemistry' schemes to productively back-convert at least a portion of these unwanted materials into useful products. Despite substantial progress in the degradation of some classes of harmful chemicals, work on 'closing the circle'-transforming waste substrates into valuable products-remains fragmented and focused on well known areas. Comprehensive analyses of which valuable products are synthesizable from diverse chemical wastes are difficult because even small sets of waste substrates can, within few steps, generate millions of putative products, each synthesizable by multiple routes forming densely connected networks. Tracing all such syntheses and selecting those that also meet criteria of process and 'green' chemistries is, arguably, beyond the cognition of human chemists. Here we show how computers equipped with broad synthetic knowledge can help address this challenge. Using the forward-synthesis Allchemy platform, we generate giant synthetic networks emanating from approximately 200 waste chemicals recycled on commercial scales, retrieve from these networks tens of thousands of routes leading to approximately 300 important drugs and agrochemicals, and algorithmically rank these syntheses according to the accepted metrics of sustainable chemistry. Several of these routes we validate by experiment, including an industrially realistic demonstration on a 'pharmacy on demand' flow-chemistry platform. Wide adoption of computerized waste-to-valuable algorithms can accelerate productive reuse of chemicals that would otherwise incur storage or disposal costs, or even pose environmental hazards.

摘要

随着化工行业继续产生大量的废弃化学品,设计“循环化学”方案将至少一部分这些不需要的材料转化为有用的产品是至关重要的。尽管在一些类有害化学品的降解方面取得了重大进展,但“封闭循环”的工作——将废物基质转化为有价值的产品——仍然分散且集中在已知领域。全面分析哪些有价值的产品可以从各种化学废物中合成是困难的,因为即使是一小部分废物基质,在几步之内也可以产生数以百万计的可能产物,每个产物都可以通过多种途径合成,形成密集连接的网络。追踪所有这些合成并选择那些也符合过程和“绿色”化学标准的合成,据认为是超出人类化学家认知能力的。在这里,我们展示了配备广泛合成知识的计算机如何帮助应对这一挑战。我们使用正向合成 Allchemy 平台,从大约 200 种商业规模回收的废弃化学品中生成庞大的合成网络,从这些网络中检索到成千上万条通向大约 300 种重要药物和农用化学品的路线,并根据可持续化学的公认指标对这些合成进行算法排序。我们通过实验验证了其中的一些路线,包括在“按需配药”流动化学平台上进行的工业上可行的演示。广泛采用计算机化的废物转化为有价值的算法可以加速有价值的化学品的生产性再利用,否则这些化学品将产生储存或处置成本,甚至构成环境危害。

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