1. Quantitative proteomics approach for identifying protein–drug interactions in complex mixtures using protein stability measurements
- Author
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Graham M. West, Xuemei Han, John R. Yates, Michael C. Fitzgerald, Chandra L. Tucker, Sung Kyu Park, and Tao Xu
- Subjects
Proteomics ,Drug ,Protein Folding ,Multidisciplinary ,Chemistry ,media_common.quotation_subject ,Quantitative proteomics ,Proteins ,Biological Sciences ,Complex Mixtures ,Mass Spectrometry ,UDPglucose 4-Epimerase ,Cyclophilin A ,Pharmaceutical Preparations ,Biochemistry ,Yeasts ,Cyclosporin a ,Cyclosporine ,Protein drug ,Thermodynamics ,Protein folding ,Mode of action ,Chromatography, Liquid ,media_common - Abstract
Knowledge about the protein targets of therapeutic agents is critical for understanding drug mode of action. Described here is a mass spectrometry-based proteomics method for identifying the protein target(s) of drug molecules that is potentially applicable to any drug compound. The method, which involves making thermodynamic measurements of protein-folding reactions in complex biological mixtures to detect protein–drug interactions, is demonstrated in an experiment to identify yeast protein targets of the immunosuppressive drug, cyclosporin A (CsA). Two of the ten protein targets identified in this proof of principle work were cyclophilin A and UDP-glucose-4-epimerase, both of which are known to interact with CsA, the former through a direct binding event ( K d ∼ 70 nM) and the latter through an indirect binding event. These two previously known protein targets validate the methodology and its ability to detect both the on- and off-target effects of protein–drug interactions. The other eight protein targets discovered here, which include several proteins involved in glucose metabolism, create a new framework in which to investigate the molecular basis of CsA side effects in humans.
- Published
- 2010
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