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DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure

Accepted version
Peer-reviewed

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Abstract

A robust system for automatic processing and assignment of raw 13C and 1H NMR data DP4-AI has been developed and integrated into our computational organic molecule structure elucidation workflow. Starting from a molecular structure with undefined stereochemistry or other structural uncertainty, this system allows for completely automated structure elucidation. Methods for NMR peak picking using objective model selection and algorithms for matching the calculated 13C and 1H NMR shifts to peaks in noisy experimental NMR data were developed. DP4-AI achieved a 60-fold increase in processing speed, and near-elimination of the need for scientist time, when rigorously evaluated used a challenging test set of molecules. DP4-AI represents a leap forward in NMR structure elucidation and a step-change in the functionality of DP4. It enables high-throughput analyses of databases and large sets of molecules, which were previously impossible, and paves the way for the discovery of new structural information through machine learning. This new functionality has been coupled with an intuitive GUI and is available as open-source software at https://github.com/KristapsE/DP4-AI.

Description

Journal Title

Chemical Science

Conference Name

Journal ISSN

2573-2293

Volume Title

Publisher

American Chemical Society (ACS)

Rights and licensing

Except where otherwised noted, this item's license is described as All rights reserved
Sponsorship
Isaac Newton Trust (17.08(D))
Leverhulme Trust (ECF-2017-255)
EPSRC (2110580)
Engineering and Physical Sciences Research Council (EP/P020259/1)
EPSRC DTA studentship Leverhulme Trust Isaac Newton Trust EPSRC EP/P020259/1