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- W3010016401 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." @default.
- W3010016401 created "2020-03-13" @default.
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- W3010016401 date "2020-02-01" @default.
- W3010016401 modified "2023-10-16" @default.
- W3010016401 title "Interaction profiling methods to map protein and pathway targets of bioactive ligands" @default.
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- W3010016401 doi "https://doi.org/10.1016/j.cbpa.2020.02.001" @default.
- W3010016401 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7745198" @default.
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