CANPA: Computer-Assisted Natural Products Anticipation.
Journal
Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536
Informations de publication
Date de publication:
03 09 2019
03 09 2019
Historique:
pubmed:
2
8
2019
medline:
23
9
2020
entrez:
2
8
2019
Statut:
ppublish
Résumé
Traditional natural products discovery workflows implying a combination of different targeting strategies, including structure- and/or bioactivity-based approaches, afford no information about new compound structures until late in the discovery pipeline. By integrating a MS/MS prediction module and a collaborative library of (bio)chemical transformations, we have developed a new platform, coined MetWork, that is capable of anticipating the structural identity of metabolites starting from any identified compound. In our quest to discover new monoterpene indole alkaloids, we demonstrate the utility of the MetWork platform by anticipating the structures of five previously undescribed sarpagine-like
Identifiants
pubmed: 31369240
doi: 10.1021/acs.analchem.9b02216
doi:
Substances chimiques
Alkaloids
0
Biological Products
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM