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Russian Chemical Reviews, 2022, Volume 91, Issue 5, RCR5027
DOI: https://doi.org/10.1070/RCR5027 		 
This article is cited in 15 scientific papers (total in 15 papers)

Computational NMR of natural products

Valentin A. Semenov, Leonid B. Krivdin

A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russian Federation
English full-text Citations (15)
DOI: https://doi.org/10.1070/RCR5027
Abstract: This review generalizes diverse computational NMR studies of different natural products involving true alkaloids (indole, quinolizidine, pyrrolizidine, piperidine, indolizidine, quinoline, isoquinoline, indoloquinoline, and guanidine alkaloids), pseudoalkaloids (terpenes and steroids), quinones, lactones, lactams, flavonoids, and many others. The diverse computational protocols employed in each particular case are thoroughly discussed with a special emphasis on their structural and stereochemical applications.
The bibliography includes 165 references.
Keywords: alkaloids, terpenes, steroids, computational NMR, 1H and 13C NMR chemical shifts, spin-spin coupling constants.
Received: 07.06.2021
Russian version:
Uspekhi Khimii, 2022, Volume 91, Issue 5, RCR5027
DOI: https://doi.org/10.1070/RCR5027
Bibliographic databases:
Document Type: Article
Language: English
Original paper language: English
Citation: Valentin A. Semenov, Leonid B. Krivdin, “Computational NMR of natural products”, Usp. Khim., 91:5 (2022), RCR5027; Russian Chem. Reviews, 91:5 (2022), RCR5027
Citation in format AMSBIB
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    • This publication is cited in the following 15 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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