Yuri K. Peterson PhD
(843) 876-2498
petersy@musc.edu
70 President St. Room DD405
Faculty email addresses should not be used to seek medical advice or to make medical appointments. Please visit MyChart for medical appointments or to contact your provider.
Department
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COP Drug Discovery and Biomedical Sciences
Academic Focus
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drug and chemical probe discovery, high-content microscopy, and cheminformatics including PGx, predictive PK/toxicology, molecular docking, QSAR, and pharmacophore modeling,
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Hormone and cell signaling with a special emphasis on GPCRs, G-proteins, arrestins, lipids, protein trafficking, protein prenylation, mitochondria, and scaffolding proteins
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protein and ligand chemistry (structure, kinetics, purification, prediction)
Faculty email addresses should not be used to seek medical advice or to make medical appointments. Please visit MyChart for medical appointments or to contact your provider.
Biography
Dr. Yuri Karl Peterson earned his MS at MUSC and his PhD in pharmacology and experimental therapeutics from Louisiana State University Health Sciences Center in New Orleans. He subsequently completed a dual, concurrent postdoctoral fellowships in cancer pharmacology at Duke University Medical Center and in chemical informatics at the UNC Chapel Hill Eshelman School of Pharmacy, developing integrated expertise in mechanistic oncology and computational drug discovery. He joined the MUSC College of Pharmacy in 2008.
Dr. Peterson is a translational scientist whose research focuses on hormone signaling, lipid signaling, cell metabolism, and epigenetic regulation as therapeutic targets in cancer and inflammatory disease. His work examines how bioactive molecules and heterotrimeric/monomeric GTPase signaling networks regulate tumor progression, mitochondrial bioenergetics, and therapeutic resistance, with an emphasis on biomarker development and pharmacogenomic stratification. By integrating biochemical assay development with molecular modeling and chemical informatics, his program advances precision therapeutic strategies that bridge mechanistic discovery with translational application.
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