Literature DB >> 32146330

Interaction profiling methods to map protein and pathway targets of bioactive ligands.

Jun X Huang1, John S Coukos1, Raymond E Moellering2.   

Abstract

Recent advances in -omic profiling technologies have ushered in an era where we no longer want to merely measure the presence or absence of a biomolecule of interest, but instead hope to understand its function and interactions within larger signaling networks. Here, we review several emerging proteomic technologies capable of detecting protein interaction networks in live cells and their integration to draft holistic maps of proteins that respond to diverse stimuli, including bioactive small molecules. Moreover, we provide a conceptual framework to combine so-called 'top-down' and 'bottom-up' interaction profiling methods and ensuing proteomic profiles to directly identify binding targets of small molecule ligands, as well as for unbiased discovery of proteins and pathways that may be directly bound or influenced by those first responders. The integrated, interaction-based profiling methods discussed here have the potential to provide a unique and dynamic view into cellular signaling networks for both basic and translational biological studies.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemical probes; Proteomics; Systems biology; Target identification

Mesh:

Substances:

Year:  2020        PMID: 32146330      PMCID: PMC7745198          DOI: 10.1016/j.cbpa.2020.02.001

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  63 in total

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6.  A mammalian histone deacetylase related to the yeast transcriptional regulator Rpd3p.

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9.  Protein painting reveals solvent-excluded drug targets hidden within native protein-protein interfaces.

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10.  Proteome-wide drug and metabolite interaction mapping by thermal-stability profiling.

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  1 in total

Review 1.  An update of label-free protein target identification methods for natural active products.

Authors:  Zhao Cui; Caifeng Li; Peng Chen; Hongjun Yang
Journal:  Theranostics       Date:  2022-01-24       Impact factor: 11.556

  1 in total

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