Development of a 13C NMR Chemical Shift Prediction Procedure Using B3LYP/cc-pVDZ and Empirically Derived Systematic Error Correction Terms: A Computational Small Molecule Structure Elucidation Method

5 years ago

Development of a 13C NMR Chemical Shift Prediction Procedure Using B3LYP/cc-pVDZ and Empirically Derived Systematic Error Correction Terms: A Computational Small Molecule Structure Elucidation Method

Paul-James Jones, Nina C. Gonnella, Om Chaudhary, Klaus Wagner, Reginaldo A. Saraceno, Carl A. Busacca, C. Avery Sader, Zheng Yang, Keith Horspool, Chris H. Senanayake, Dongyue Xin, Keith R. Fandrick, Gordon Hansen, Christofer S. Tautermann

An accurate and efficient procedure was developed for performing ¹³C NMR chemical shift calculations employing density functional theory with the gauge invariant atomic orbitals (DFT-GIAO). Benchmarking analysis was carried out, incorporating several density functionals and basis sets commonly used for prediction of ¹³C NMR chemical shifts, from which the B3LYP/cc-pVDZ level of theory was found to provide accurate results at low computational cost. Statistical analyses from a large data set of ¹³C NMR chemical shifts in DMSO are presented with TMS as the calculated reference and with empirical scaling parameters obtained from a linear regression analysis. Systematic errors were observed locally for key functional groups and carbon types, and correction factors were determined. The application of this process and associated correction factors enabled assignment of the correct structures of therapeutically relevant compounds in cases where experimental data yielded inconclusive or ambiguous results. Overall, the use of B3LYP/cc-pVDZ with linear scaling and correction terms affords a powerful and efficient tool for structure elucidation.

Publisher URL: http://dx.doi.org/10.1021/acs.joc.7b00321

DOI: 10.1021/acs.joc.7b00321