hdl:10013/epic.21875
publisher:10.1002/mrc.1424
Novel methods of automated structure elucidation based on13C NMR spectroscopy
Meiler, Jens and Köck, Matthias
;
Contact
mkoeck [ at ] awi-bremerhaven.de
Abstract
Three new approaches for automated structure elucidations of organic molecules using NMR spectroscopic data were introduced recently. These approaches apply a neural network 13C NMR chemical shift prediction method to rank the results of structure generators by their agreement of the predicted and experimental chemical shifts. These three existing implementations are compared using realistic example molecules. The applicability and reliability of such approaches is addressed.
Item Type
Article
Authors
Meiler, Jens and Köck, Matthias
;
Divisions
Programs
Helmholtz Research Programs > MARCOPOLI (2004-2008) > CO-MARCOPOLI
Helmholtz Research Programs > MARCOPOLI (2004-2008) > CO3-Chemical Interactions - ecological function and effects
Helmholtz Research Programs > MARCOPOLI (2004-2008) > CO3-Chemical Interactions - ecological function and effects
Publication Status
Published
Eprint ID
11420
DOI
https://www.doi.org/10.1002/mrc.1424
Cite as
Meiler, J.
and
Köck, M.
(2004):
Novel methods of automated structure elucidation based on13C NMR spectroscopy
,
Magnetic Resonance in Chemistry,
42
(12),
pp. 1042-1045
.
doi: https://www.doi.org/10.1002/mrc.1424
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