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Titlebook: Cell-Wide Identification of Metabolite-Protein Interactions; Aleksandra Skirycz,Marcin Luzarowski,Jennifer C. E Book 2023 The Editor(s) (i

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發(fā)表于 2025-3-21 18:41:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cell-Wide Identification of Metabolite-Protein Interactions
編輯Aleksandra Skirycz,Marcin Luzarowski,Jennifer C. E
視頻videohttp://file.papertrans.cn/223/222954/222954.mp4
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Cell-Wide Identification of Metabolite-Protein Interactions;  Aleksandra Skirycz,Marcin Luzarowski,Jennifer C. E Book 2023 The Editor(s) (i
描述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..
出版日期Book 2023
關(guān)鍵詞Cellular processes; Metabolomics; Proteomics; Protein-small molecule complexes; Computational techniques
版次1
doihttps://doi.org/10.1007/978-1-0716-2624-5
isbn_softcover978-1-0716-2626-9
isbn_ebook978-1-0716-2624-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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Land Use Regulations and Fertility Rateslly uncovering the complexity of the protein–metabolite interactome. Here, we highlight some classic and recent examples of how protein metabolite interactions regulate metabolism, both locally and globally, and how this contributes to cellular physiology. We also discuss the importance of these int
地板
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https://doi.org/10.1007/978-3-319-66869-7nowledge is still limited. The screening of PMIs using small molecules as bait will broaden our ability to uncover novel PMIs, setting the basis for establishing their biological relevance. Here, we describe a protocol that allows the identification of multiple protein partners for one ligand. This
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https://doi.org/10.1007/978-3-319-66920-5o classical genetics in plants, the identification of small-molecule targets remains a challenge and limits the broad use of the compounds. The cellular thermal shift assay (CETSA), based on the principle that binding of small molecules could affect the thermal stability of proteins, has been applie
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Application: Treatment Wetlands,techniques have emerged to identify and characterize protein–metabolite interactions. However, their implementation in plants is generally lagging behind, preventing a complete understanding of the regulatory mechanisms governing plant physiology. Recently, a novel approach to identify metabolite-bi
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Application: Nitrate Reduction Processes,get deconvolution of ligands, requiring no chemical ligand modification. PISA can be applied to living cells for studying target engagement in vivo or alternatively to protein extracts to identify in vitro ligand-interacting proteins. Here we describe the PISA workflow optimized in our lab. PISA imp
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