范围(计算机科学)
块(置换群论)
班级(哲学)
小分子
过程(计算)
计算机科学
产品(数学)
纳米技术
化学
组合化学
生化工程
材料科学
工程类
人工智能
数学
程序设计语言
几何学
生物化学
作者
Junqi Li,Steven G. Ballmer,Eric P. Gillis,Seiko Fujii,Michael Schmidt,Andrea M. E. Palazzolo Ray,Jonathan W. Lehmann,Greg. F. Morehouse,Martin D. Burke
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2015-03-12
卷期号:347 (6227): 1221-1226
被引量:492
标识
DOI:10.1126/science.aaa5414
摘要
Small-molecule synthesis usually relies on procedures that are highly customized for each target. A broadly applicable automated process could greatly increase the accessibility of this class of compounds to enable investigations of their practical potential. Here we report the synthesis of 14 distinct classes of small molecules using the same fully automated process. This was achieved by strategically expanding the scope of a building block-based synthesis platform to include even C(sp3)-rich polycyclic natural product frameworks and discovering a catch-and-release chromatographic purification protocol applicable to all of the corresponding intermediates. With thousands of compatible building blocks already commercially available, many small molecules are now accessible with this platform. More broadly, these findings illuminate an actionable roadmap to a more general and automated approach for small-molecule synthesis.
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