Deciding which is the best 1H NMR predictor for organic compounds using statistical tools

scientific article published on 23 February 2022

Deciding which is the best 1H NMR predictor for organic compounds using statistical tools is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.5802/CRCHIM.156

P2093author name stringIbrahima Faye
Cecilia Devi Wilfred
Farah Hasyeena Fakharudin
Nadzran Hafiy Ahmad Nazuan
Wei Sheung Yeap
Wern Huay Mah
P2860cites workComputer-assisted structure verification and elucidation tools in NMR-based structure elucidationQ27156499
NMRShiftDB - Constructing a Free Chemical Information System with Open-Source ComponentsQ27156560
Prediction of 1H NMR Chemical Shifts Using Neural NetworksQ28843076
Using neural networks for (13)c NMR chemical shift prediction-comparison with traditional methodsQ44152677
Synthesis of Potent Cytotoxic Epidithiodiketopiperazines Designed for DerivatizationQ89998636
NMR signal processing, prediction, and structure verification with machine learning techniquesQ92486489
The role of computer-assisted structure elucidation (CASE) programs in the structure elucidation of complex natural productsQ93151618
P433issueG1
P407language of work or nameEnglishQ1860
P921main subjectnuclear magnetic resonanceQ209402
NMRShiftDBQ24170714
P304page(s)83-95
P577publication date2022-02-23
P1433published inComptes Rendus. ChimieQ2990850
P1476titleDeciding which is the best 1 H NMR predictor for organic compounds using statistical tools
P478volume25

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