DELTA50: A Highly Accurate Database of Experimental 1H and 13C NMR Chemical Shifts Applied to DFT Benchmarking

Author:

Cohen Ryan D.12,Wood Jared S.13,Lam Yu-Hong4,Buevich Alexei V.1,Sherer Edward C.1,Reibarkh Mikhail1,Williamson R. Thomas3ORCID,Martin Gary E.2

Affiliation:

1. Analytical Research and Development, Merck & Co., Inc., Rahway, NJ 07065, USA

2. Department of Chemistry and Biochemistry, Seton Hall University, South Orange, NJ 07079, USA

3. Department of Chemistry and Biochemistry, University of North Carolina Wilmington, Wilmington, NC 28409, USA

4. Department of Computational and Structural Chemistry, Merck & Co., Inc., Rahway, NJ 07065, USA

Abstract

Density functional theory (DFT) benchmark studies of 1H and 13C NMR chemical shifts often yield differing conclusions, likely due to non-optimal test molecules and non-standardized data acquisition. To address this issue, we carefully selected and measured 1H and 13C NMR chemical shifts for 50 structurally diverse small organic molecules containing atoms from only the first two rows of the periodic table. Our NMR dataset, DELTA50, was used to calculate linear scaling factors and to evaluate the accuracy of 73 density functionals, 40 basis sets, 3 solvent models, and 3 gauge-referencing schemes. The best performing DFT methodologies for 1H and 13C NMR chemical shift predictions were WP04/6-311++G(2d,p) and ωB97X-D/def2-SVP, respectively, when combined with the polarizable continuum solvent model (PCM) and gauge-independent atomic orbital (GIAO) method. Geometries should be optimized at the B3LYP-D3/6-311G(d,p) level including the PCM solvent model for the best accuracy. Predictions of 20 organic compounds and natural products from a separate probe set had root-mean-square deviations (RMSD) of 0.07 to 0.19 for 1H and 0.5 to 2.9 for 13C. Maximum deviations were less than 0.5 and 6.5 ppm for 1H and 13C, respectively.

Publisher

MDPI AG

Subject

Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science

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