The digitization of organic synthesis

被引：78

作者：

Davies, Ian W. ^{[1
]}

机构：

[1] Princeton Univ, Princeton Catalysis Initiat, Princeton, NJ 08544 USA

来源：

NATURE | 2019年 / 570卷 / 7760期

关键词：

COMPUTER; CHEMISTRY; DESIGN; PERFORMANCE; DIVERSE; ECONOMY; PREDICT; SEARCH; MODELS;

D O I：

10.1038/s41586-019-1288-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Organic chemistry has largely been conducted in an ad hoc manner by academic laboratories that are funded by grants directed towards the investigation of specific goals or hypotheses. Although modern synthetic methods can provide access to molecules of considerable complexity, predicting the outcome of a single chemical reaction remains a major challenge. Improvements in the prediction of 'above-the-arrow' reaction conditions are needed to enable intelligent decision making to select an optimal synthetic sequence that is guided by metrics including efficiency, quality and yield. Methods for the communication and the sharing of data will need to evolve from traditional tools to machine-readable formats and open collaborative frameworks. This will accelerate innovation and require the creation of a chemistry commons with standardized data handling, curation and metrics.

引用

页码：175 / 181

页数：7

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