An NMR Database for Organic and Organometallic Compounds

Databases of organic compounds are rooted in chemical formats, typically modeling chemical structures as simple graphical representations, which are easily readable by both humans and machines. This information can be handled by software and standards that have emerged in chemistry over decades and are well established. The present communication proposes that the extension of databases to encompass organometallic compounds, with coordination bonds, can be accomplished seamlessly with minor modifications, without compromising the utility of the database functionalities. Using a database for nuclear magnetic resonance (NMR) data, we demonstrate that this enables treating the organometallic compounds with the same algorithms as the organic compounds.

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Publication Details

Journal
Molecules
Published
2025-08-21
DOI
https://doi.org/10.3390/molecules30163442
Primary Topic
Molecular spectroscopy and chirality
Type
article
Field-Weighted Citation Impact
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article

An NMR Database for Organic and Organometallic Compounds

Markus Fischer, Christophe Farès, Stefan Kühn, Herman Rull
Molecules
Molecular spectroscopy and chirality
article

An NMR Database for Organic and Organometallic Compounds

Markus Fischer, Christophe Farès, Stefan Kühn, Herman Rull
article en

Abstract

Databases of organic compounds are rooted in chemical formats, typically modeling chemical structures as simple graphical representations, which are easily readable by both humans and machines. This information can be handled by software and standards that have emerged in chemistry over decades and are well established. The present communication proposes that the extension of databases to encompass organometallic compounds, with coordination bonds, can be accomplished seamlessly with minor modifications, without compromising the utility of the database functionalities. Using a database for nuclear magnetic resonance (NMR) data, we demonstrate that this enables treating the organometallic compounds with the same algorithms as the organic compounds.

MoleculesVol. 30(16)
Max-Planck-Institut für Kohlenforschung (DE), University of Tartu (EE), Leipzig University (DE)
Openalex Percentile: Top 81%
Molecular spectroscopy and chirality
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