Across-the-World Automated Optimization and Continuous-Flow Synthesis of Pharmaceutical Agents Operating Through a Cloud-Based Server

被引：75

作者：

Fitzpatrick, Daniel E. ^{[1
]}

Maujean, Timothe ^{[2
]}

Evans, Amanda C. ^{[3
]}

Ley, Steven V. ^{[1
]}

机构：

[1] Univ Cambridge, Dept Chem, Lensfield Rd, Cambridge, England

[2] Ecole Normale Super Paris Saclay, Dept Chim, F-94235 Cachan, France

[3] Calif State Univ Fullerton, Dept Chem & Biochem, 800 N State Coll Blvd, Fullerton, CA 92831 USA

来源：

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION | 2018年 / 57卷 / 46期

基金：

欧盟地平线“2020”; 英国工程与自然科学研究理事会;

关键词：

continuous synthesis; flow chemistry; self-optimization; ANALYTICS;

D O I：

10.1002/anie.201809080

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The power of the Cloud has been harnessed for pharmaceutical compound production with remote servers based in Tokyo, Japan being left to autonomously find optimal synthesis conditions for three active pharmaceutical ingredients (APIs) in laboratories in Cambridge, UK. A researcher located in Los Angeles, USA controlled the entire process via an internet connection. The constituent synthetic steps for Tramadol, Lidocaine, and Bupropion were thus optimized with minimal intervention from operators within hours, yielding conditions satisfying customizable evaluation functions for all examples.

引用

收藏

页码：15128 / 15132

页数：5

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