The application of Bayes' theorem in natural products as a guide for skeletons identification
β Scribed by V.de P Emerenciano; M.J.P Ferreira; M.D Branco; J.E Dubois
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 129 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
β¦ Synopsis
In this work, we present an application of Bayes' theorem in natural products as a guide for skeletons identification. We wrote an algorithm in PROLOG language, which computes conditional probabilities for finding skeletons types of sesquiterpene lactones in any taxon, using botanic information as input. The approach was applied to the Asteraceae family, and the results are accurate enough to allow good skeletons identification, even for the most complex chemical compound. The relationship between our approach and others procedures for skeleton identification is briefly discussed.
π SIMILAR VOLUMES
Pyrrolizidine alkaloid (PA)-containing plants are widely distributed in the world. PAs are hepatotoxic, affecting livestock and humans. PA N-oxides are often present together with PAs in plants and also exhibit hepatotoxicity but with less potency. HPLC-MS is generally used to analyze PA-containing