Prediction of occurrences of diverse chemical classes in the Asteraceae through arti?cial neural networks-Reference-Cited by-同舟云学术

Prediction of occurrences of diverse chemical classes in the Asteraceae through arti?cial neural networks

Published:2004 Issue:6 Volume:15 Page:389-396
ISSN:0958-0344
Container-title:Phytochemical Analysis
language:en
Short-container-title:Phytochem. Anal.

Author:

Ferreira Marcelo J. P.,Brant Ant�nio J. C.,Ru?no Alessandra R.,Alvarenga Sandra A. V.,Magri F�tima M. M.,Emerenciano Vicente P.

Publisher

Wiley

Subject

Complementary and alternative medicine,Drug Discovery,Plant Science,Molecular Medicine,General Medicine,Biochemistry,Food Science,Analytical Chemistry

Reference54 articles.

1. Natural Product Substitution Pattern and Skeletal Recognition Method

2. Chemosystematic studies of natural compounds isolated from Asteraceae: characterization of tribes by principal component analysis

3. A computer-assisted approach for chemotaxonomic studies — diterpenes in Lamiaceae

4. Eudesmane Derivatives from Verbesina turbacensis

5. Prediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networks

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