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Crystal Structure Determination from Machine Learned Chemical Shifts. | LitMetric

Crystal Structure Determination from Machine Learned Chemical Shifts.

J Am Chem Soc

Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

Published: April 2022

AI Article Synopsis

Article Abstract

Determination of the three-dimensional atomic-level structure of powdered solids is one of the key goals in current chemistry. Solid-state NMR chemical shifts can be used to solve this problem, but they are limited by the high computational cost associated with crystal structure prediction methods and density functional theory chemical shift calculations. Here, we successfully determine the crystal structures of ampicillin, piroxicam, cocaine, and two polymorphs of the drug molecule AZD8329 using on-the-fly generated machine-learned isotropic chemical shifts to directly guide a Monte Carlo-based structure determination process starting from a random gas-phase conformation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052749PMC
http://dx.doi.org/10.1021/jacs.1c13733DOI Listing

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