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

小天使

书目名称Cell-Wide Identification of Metabolite-Protein Interactions影响因子(影响力)




书目名称Cell-Wide Identification of Metabolite-Protein Interactions影响因子(影响力)学科排名




书目名称Cell-Wide Identification of Metabolite-Protein Interactions网络公开度




书目名称Cell-Wide Identification of Metabolite-Protein Interactions网络公开度学科排名




书目名称Cell-Wide Identification of Metabolite-Protein Interactions被引频次




书目名称Cell-Wide Identification of Metabolite-Protein Interactions被引频次学科排名




书目名称Cell-Wide Identification of Metabolite-Protein Interactions年度引用




书目名称Cell-Wide Identification of Metabolite-Protein Interactions年度引用学科排名




书目名称Cell-Wide Identification of Metabolite-Protein Interactions读者反馈




书目名称Cell-Wide Identification of Metabolite-Protein Interactions读者反馈学科排名

积极词汇

FIR

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

混合

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

充足

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

浅滩

浅滩

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

Factorable

GENUS

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

执