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Cell-Wide Identification of Metabolite-Protein Interactions (Hardcover, 1st ed. 2023) Loot Price: R4,399
Discovery Miles 43 990
Cell-Wide Identification of Metabolite-Protein Interactions (Hardcover, 1st ed. 2023): Aleksandra Skirycz, Marcin Luzarowski,...

Cell-Wide Identification of Metabolite-Protein Interactions (Hardcover, 1st ed. 2023)

Aleksandra Skirycz, Marcin Luzarowski, Jennifer C. Ewald

Series: Methods in Molecular Biology, 2554

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Loot Price R4,399 Discovery Miles 43 990 | Repayment Terms: R412 pm x 12*

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This thorough volume explores protocols of proteome- and metabolome-wide strategies for the identification of protein-small molecule complexes in different organisms, in order to shed light on these important regulatory interactions. Experimental and computational strategies to characterize protein-metabolite interactions are discussed, and recent advances in enabling technologies are featured as well. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice to ensure success in future research. Authoritative and practical, Cell-Wide Identification of Metabolite-Protein Interactions will aid researchers seeking a better understanding of the mechanisms of signal transduction occurring in the cell and assessing the effect of complex formation on cell physiology.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Methods in Molecular Biology, 2554
Release date: October 2022
First published: 2023
Editors: Aleksandra Skirycz • Marcin Luzarowski • Jennifer C. Ewald
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 260
Edition: 1st ed. 2023
ISBN-13: 978-1-07-162623-8
Categories: Books > Science & Mathematics > Chemistry > General
Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > Cellular physiology
Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > Metabolism
Books > Science & Mathematics > Biology, life sciences > Cellular biology > General
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LSN: 1-07-162623-X
Barcode: 9781071626238

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