Frontiers of molecular crystal structure prediction for pharmaceuticals and functional organic materials

GJO Beran - Chemical Science, 2023 - pubs.rsc.org
The reliability of organic molecular crystal structure prediction has improved tremendously in
recent years. Crystal structure predictions for small, mostly rigid molecules are quickly …

Solid-state NMR spectroscopy

B Reif, SE Ashbrook, L Emsley, M Hong - Nature Reviews Methods …, 2021 - nature.com
Solid-state nuclear magnetic resonance (NMR) spectroscopy is an atomic-level method to
determine the chemical structure, 3D structure and dynamics of solids and semi-solids. This …

Chemical shifts in molecular solids by machine learning

FM Paruzzo, A Hofstetter, F Musil, S De… - Nature …, 2018 - nature.com
Due to their strong dependence on local atonic environments, NMR chemical shifts are
among the most powerful tools for strucutre elucidation of powdered solids or amorphous …

NMR crystallography of molecular organics

P Hodgkinson - Progress in Nuclear Magnetic Resonance …, 2020 - Elsevier
Developments of NMR methodology to characterise the structures of molecular organic
structures are reviewed, concentrating on the previous decade of research in which density …

Atomic-level structure determination of amorphous molecular solids by NMR

M Cordova, P Moutzouri, SO Nilsson Lill… - Nature …, 2023 - nature.com
Abstract Structure determination of amorphous materials remains challenging, owing to the
disorder inherent to these materials. Nuclear magnetic resonance (NMR) powder …

A machine learning model of chemical shifts for chemically and structurally diverse molecular solids

M Cordova, EA Engel, A Stefaniuk… - The Journal of …, 2022 - ACS Publications
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic
environments and can be used to determine the structure of solid materials. However, the …

Structure determination of an amorphous drug through large-scale NMR predictions

M Cordova, M Balodis, A Hofstetter, F Paruzzo… - Nature …, 2021 - nature.com
Abstract Knowledge of the structure of amorphous solids can direct, for example, the
optimization of pharmaceutical formulations, but atomic-level structure determination in …

Atomic-resolution chemical characterization of (2x)72-kDa tryptophan synthase via four- and five-dimensional 1H-detected solid-state NMR

A Klein, P Rovó, VV Sakhrani, Y Wang… - Proceedings of the …, 2022 - pnas.org
NMR chemical shifts provide detailed information on the chemical properties of molecules,
thereby complementing structural data from techniques like X-ray crystallography and …

Machine learning accelerates quantum mechanics predictions of molecular crystals

Y Han, I Ali, Z Wang, J Cai, S Wu, J Tang, L Zhang… - Physics Reports, 2021 - Elsevier
Quantum mechanics (QM) approaches (DFT, MP2, CCSD (T), etc.) play an important role in
calculating molecules and crystals with a high accuracy and acceptable efficiency. In recent …

Predicting density functional theory-quality nuclear magnetic resonance chemical shifts via δ-machine learning

PA Unzueta, CS Greenwell… - Journal of Chemical …, 2021 - ACS Publications
First-principles prediction of nuclear magnetic resonance chemical shifts plays an
increasingly important role in the interpretation of experimental spectra, but the required …