Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
| [ meld een fout in dit record ] | mandje (0): toevoegen | toon |
 |
| A metabolomics guided exploration of marine natural product chemical space Floros, D.J.; Jensen, P.R.; Dorrestein, P.C.; Koyama, N. (2016). A metabolomics guided exploration of marine natural product chemical space. Metabolomics 12(9): 145. https://dx.doi.org/10.1007/s11306-016-1087-5
In: Metabolomics. Springer: New York. ISSN 1573-3882; e-ISSN 1573-3890
|  |
| Beschikbaar in | Auteurs |
| Trefwoord |
|
| Author keywords |
|
| Auteurs | Top | |
|
| Abstract |
IntroductionNatural products from culture collections have enormous impact in advancing discovery programs for metabolites of biotechnological importance. These discovery efforts rely on the metabolomic characterization of strain collections. ObjectiveMany emerging approaches compare metabolomic profiles of such collections, but few enable the analysis and prioritization of thousands of samples from diverse organisms while delivering chemistry specific read outs. MethodIn this work we utilize untargeted LC–MS/MS based metabolomics together with molecular networking to inventory the chemistries associated with 1000 marine microorganisms. ResultThis approach annotated 76 molecular families (a spectral match rate of 28 %), including clinically and biotechnologically important molecules such as valinomycin, actinomycin D, and desferrioxamine E. Targeting a molecular family produced primarily by one microorganism led to the isolation and structure elucidation of two new molecules designated maridric acids A and B. ConclusionMolecular networking guided exploration of large culture collections allows for rapid dereplication of know molecules and can highlight producers of uniques metabolites. These methods, together with large culture collections and growing databases, allow for data driven strain prioritization with a focus on novel chemistries. |
| Top | Auteurs |
