E-Book, Englisch, Band 1055, 311 Seiten, eBook
Reihe: Methods in Molecular Biology
Roessner / Dias Metabolomics Tools for Natural Product Discovery
1. Auflage 2013
ISBN: 978-1-62703-577-4
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark
Methods and Protocols
E-Book, Englisch, Band 1055, 311 Seiten, eBook
Reihe: Methods in Molecular Biology
ISBN: 978-1-62703-577-4
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Bryophytes: Liverworts, Mosses and Hornworts – Extraction and Isolation Procedures.- Plant Tissue Extraction for Metabolomics.- Detection of Polar Metabolites through the use of Gas Chromatography – Mass Spectrometry.- A Robust GC-MS Method for the Quantitation of Fatty Acids in Biological Systems.- A Workflow from Untargeted LC-MS Profiling to Targeted Natural Product Isolation.- Lipidomics –Extraction Protocols for Biological Matrices.- Metabolite Analysis of Biological Fluids and Tissues by Proton Nuclear Magnetic Resonance Spectroscopy.- NMR Spectroscopy: Structure Elucidation of Cycloelatenene A: A Natural Product Case Study.- NMR-Based Metabolomics: A Probe to Utilize Biodiversity.- Extraction Protocol for Non-Targeted NMR and LC-MS Metabolomics-Based Analysis of Hard Coral and their Algal Symbionts.- Determination of Absolute Configuration Using Single Crystal X-ray Diffraction.- Natural Product Chemistry in Action: The Synthesis of Melatonin Metabolites K1 and K2.- Discovery, Biosynthesis, and Rational Engineering of Novel Enterocin and WailupemycinPolyketide Analogues.- Bioassays for Anticancer Activities.- Screening for Anti-Diabetic Activities.- Screening for Antibacterial, Antifungal and Anti-Quorum Sensing Activity.- Metabolomics and Dereplication Strategies in Natural Products.- Bridging the Gap: Basic Metabolomics Methods for Natural Product Chemistry.- Strategies in Biomarker Discovery. Peak Annotation by MS and Targeted LC-MS Micro-Fractionation for de novo Structure Identification by Micro-NMR.- Statistical Analysis of Metabolomics Data.