Ulteriori informazioni
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.
Sommario
Protein-Metabolite Interactions Shape Cellular Metabolism and Physiology.- Affinity Purification Protocol Starting with a Small Molecule as Bait.- Cellular Thermal Shift Assay for the Detection of Small Molecule-Target Interactions in Arabidopsis Cells.- Solvent-Induced Protein Precipitation for Drug Target Discovery.- Identification of Plant Protein-Metabolite Interactions by Limited Proteolysis-Coupled Mass Spectrometry (LiP-MS).- Limited Proteolysis-Mass Spectrometry to Identify Metabolite-Protein Interactions.- Proteome Integral Solubility Alteration (PISA) for High-Throughput Ligand Target Deconvolution with Increased Statistical Significance and Reduced Sample Amount.- Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes Using a Single-Step Affinity Purification.- Detecting and Characterizing Interactions of Metabolites with Proteins by Saturation Transfer Difference Nuclear Magnetic Resonance (STD-NMR) Spectroscopy.- PROMIS: Co-Fractionation Mass Spectrometry for Analysis of Protein-Metabolite Interactions.- Metabolomics: Going Deeper, Going Broader, Going Further.- Specifics of Metabolite-Protein Interactions and Their Computational Analysis and Prediction.- Biophysical Approaches for the Characterization of Protein-Metabolite Interactions.- Databases and Tools to Investigate Protein-Metabolite Interactions.
