A validated experimental NMR parameter dataset of organic molecules to assist benchmarking of 3D structure determination methods

Over 1000 accurately defined and validated experimental long-range proton-carbon (<sup><i>n</i></sup><i>J</i><sub>CH</sub>) and proton-proton (<sup><i>n</i></sup><i>J</i><sub>HH</sub>) scalar coupling constants, with assigned <sup>1</sup>H/<sup>13</sup>C chemical shifts and their corresponding 3D structures are reported for fourteen relatively complex organic molecules. The experimental dataset comprises 775 <sup><i>n</i></sup><i>J</i><sub>CH</sub>, 300 <sup><i>n</i></sup><i>J</i><sub>HH</sub>, 332 <sup>1</sup>H chemical shifts and 336 <sup>13</sup>C chemical shifts, all validated against DFT-calculated values to identify misassignments. A subset of 565 <sup><i>n</i></sup><i>J</i><sub>CH</sub>, 205 <sup><i>n</i></sup><i>J</i><sub>HH</sub>, 172 <sup>1</sup>H chemical shifts and 202 <sup>13</sup>C chemical shifts from rigid portions of these molecules have been identified which could be particularly valuable for benchmarking computational methods for predicting NMR parameters. An exemplar application of this dataset is presented through benchmarking of the DFT mPW1PW91/6-311 g(dp) level of theory for computation of chemical shifts and scalar coupling constants and for testing scaling approaches for generating experimentally-relevant chemical shifts from DFT-computed magnetic shielding tensors.

Authors

Institutions

Publication Details

Journal
The Analyst
Published
2025-01-01
DOI
https://doi.org/10.1039/d5an00240k
Citations
2
Primary Topic
Molecular spectroscopy and chirality
Type
article
Field-Weighted Citation Impact
1.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A validated experimental NMR parameter dataset of organic molecules to assist benchmarking of 3D structure determination methods

Craig P. Butts, Claire L. Dickson, Michael Beaumont, Charles D. Blundell et al.
2 citations
The Analyst
Molecular spectroscopy and chirality
1.51
article

A validated experimental NMR parameter dataset of organic molecules to assist benchmarking of 3D structure determination methods

Craig P. Butts, Claire L. Dickson, Michael Beaumont, Charles D. Blundell, Z Takacs, Martin Watson, Sabira Mohammed, Lauren Jones, Steven T. Johnston, Wojciech Augustyniak, Duncan J. Crick, Jan-Christoph Westerman, Sarah Henshaw
article en
2 citations

Abstract

Over 1000 accurately defined and validated experimental long-range proton-carbon (<sup><i>n</i></sup><i>J</i><sub>CH</sub>) and proton-proton (<sup><i>n</i></sup><i>J</i><sub>HH</sub>) scalar coupling constants, with assigned <sup>1</sup>H/<sup>13</sup>C chemical shifts and their corresponding 3D structures are reported for fourteen relatively complex organic molecules. The experimental dataset comprises 775 <sup><i>n</i></sup><i>J</i><sub>CH</sub>, 300 <sup><i>n</i></sup><i>J</i><sub>HH</sub>, 332 <sup>1</sup>H chemical shifts and 336 <sup>13</sup>C chemical shifts, all validated against DFT-calculated values to identify misassignments. A subset of 565 <sup><i>n</i></sup><i>J</i><sub>CH</sub>, 205 <sup><i>n</i></sup><i>J</i><sub>HH</sub>, 172 <sup>1</sup>H chemical shifts and 202 <sup>13</sup>C chemical shifts from rigid portions of these molecules have been identified which could be particularly valuable for benchmarking computational methods for predicting NMR parameters. An exemplar application of this dataset is presented through benchmarking of the DFT mPW1PW91/6-311 g(dp) level of theory for computation of chemical shifts and scalar coupling constants and for testing scaling approaches for generating experimentally-relevant chemical shifts from DFT-computed magnetic shielding tensors.

The AnalystVol. 150(13)
University of Bristol (GB), JEOL (United Kingdom) (GB), C4X Discovery (United Kingdom) (GB)
University of Bristol
Openalex Percentile: Top 18%
Molecular spectroscopy and chirality
1.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.