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NMR-Bioassay Guided Isolation of the Natural 20S Proteasome Inhibitors from Photorhabdus Luminescens - A Novel NMR-Tool for Natural Product Detection (Hardcover, 2014 ed.) Loot Price: R1,381
Discovery Miles 13 810
NMR-Bioassay Guided Isolation of the Natural 20S Proteasome Inhibitors from Photorhabdus Luminescens - A Novel NMR-Tool for...

NMR-Bioassay Guided Isolation of the Natural 20S Proteasome Inhibitors from Photorhabdus Luminescens - A Novel NMR-Tool for Natural Product Detection (Hardcover, 2014 ed.)

Martin Lorenz Stein

Series: Springer Theses

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Loot Price R1,381 Discovery Miles 13 810 | Repayment Terms: R129 pm x 12*

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Martin Stein's thesis describes a novel methodology for natural product discovery. Due to its high degree of reproducibility, robustness and sensitivity, the technique can be utilized to detect even trace amounts of bioactive substances in heterogeneous matrices such as fermentation broths or crude organic extracts. This research is thus relevant for a large number of researchers working in natural product discovery. Applications of this novel NMR-based approach include suitable environmental triggers for the induction of biosynthetic machineries. The author demonstrates the extraordinary value of this approach by the successful isolation of two potent inhibitors of the pharmaceutically relevant proteasome core particle from the insect pathogen photorhabdus luminescens. This thesis has led to a number of publications in high-impact journals.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2014
First published: 2014
Authors: Martin Lorenz Stein
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Hardcover
Pages: 71
Edition: 2014 ed.
ISBN-13: 978-3-319-07913-4
Categories: Books > Science & Mathematics > Biology, life sciences > Biochemistry > General
Books > Science & Mathematics > Chemistry > Analytical chemistry > Qualitative analytical chemistry > Chemical spectroscopy, spectrochemistry > General
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LSN: 3-319-07913-1
Barcode: 9783319079134

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