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Calculating 13 C NMR chemical shifts of large molecules using the eXtended ONIOM method at high accuracy with a low cost.

Authors :
Ke Z
Weng J
Xu X
Source :
Journal of computational chemistry [J Comput Chem] 2023 Nov 15; Vol. 44 (30), pp. 2347-2357. Date of Electronic Publication: 2023 Aug 12.
Publication Year :
2023

Abstract

Fragmentation-based methods for nuclear magnetic resonance (NMR) chemical shift calculations have become more and more popular in first-principles calculations of large molecules. However, there are many options for a fragmentation-based method to select, such as theoretical methods, fragmentation schemes, the number of levels of theory, etc. It is important to study the optimal combination of the options to achieve a good balance between accuracy and efficiency. Here we investigate different combinations of options used by a fragmentation-based method, the eXtended ONIOM (XO) method, for <superscript>13</superscript> C chemical shift calculations on a set of organic and biological molecules. We found that: (1) introducing Hartree-Fock exchange into density functional theory (DFT) could reduce the calculation error due to fragmentation in contrast to pure DFT functionals, while a hybrid functional, xOPBE, is generally recommended; (2) fragmentation schemes generated from the molecular tailoring approach (MTA) with small level parameter n, for example, nā€‰=ā€‰2 and the degree-based fragmentation method (DBFM) with nā€‰=ā€‰1, are sufficient to achieve satisfactory accuracy; (3) the two-level XO (XO2) NMR calculation is superior to the calculation with only one level of theory, as the second level (i.e., low level) of theory provides a way to well describe the long-range effect. These findings are beneficial to practical applications of fragmentation-based methods for NMR chemical shift calculations of large molecules.<br /> (© 2023 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1096-987X
Volume :
44
Issue :
30
Database :
MEDLINE
Journal :
Journal of computational chemistry
Publication Type :
Academic Journal
Accession number :
37572044
Full Text :
https://doi.org/10.1002/jcc.27201