A universal system for digitization and automatic execution of the chemical synthesis literature

Abstract

A typical chemist running a known reaction will start by finding the method described in a published paper. Mehr et al. report a software platform that uses natural language processing to translate the organic chemistry literature directly into editable code, which in turn can be compiled to drive automated synthesis of the compound in the laboratory. The synthesis procedure is intended to be universally applicable to robotic systems operating in a batch reaction architecture. The full process is demonstrated for synthesis of an analgesic as well as common oxidizing and fluorinating agents.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 02, 2020
Source ID
10.1126/science.abc2986

Entities

People

  • Artem I Leonov
  • Graham Keenan
  • Leroy Cronin
  • Matthew Craven
  • S Hessam M Mehr

Organizations

  • Engineering and Physical Sciences Research Council
  • University of Glasgow

Tags

Fields of Study

  • Chemistry

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Database Systems and Applications
  • Organic Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • Autonomy