G-protein-coupled receptors (GPCRs) play an important role across many important physiological systems (i.e. taste, vision, cardiac function, and neurotransmission). We are interested in the molecular mechanisms responsible for the nuanced signaling paradigms of GPCRs and how they lead to vastly different biological outcomes. Gaining atomistic insights into receptor-ligand interactions will allow us to design novel therapeutic compounds and molecular probes (rationally or through computational approaches). As a model system, we study psychedelics. These compounds exhibit a complex polypharmacology impacting the serotonin, dopamine, and adrenergic receptor systems. While we are interested in investigating all receptor systems that psychedelics impact, we primarily study the 5-HT2A and 5-HT2C receptors. We want to develop novel therapeutic approaches exploiting these systems to create safer and more effective compounds for pain relief and neuropsychiatric disorders. To interrogate these systems, we utilize state-of-the-art technologies and techniques in molecular pharmacology, structural biology, and computational biophysics. Molecular Pharmacology and Chemical Biology: We use various biochemical/pharmacological techniques to quantify the downstream signaling pathways and interaction partners related to GPCR activation. Additionally, we are interested in fully characterizing psychedelic polypharmacology (both structurally and mechanistically) and utilizing those pathways to develop novel compounds that can be used to treat chronic pain, neuropsychiatric disorders, as well as substance use disorders. Structural Biology: We use cryo-electron microscopy to reveal the molecular interactions between a drug and its receptor. This provides useful information for probing specific atomistic mechanisms that drive downstream signaling patterns and yield important interactions for structure-based drug design. In Silico Approaches: We use the latest computational approaches (MD simulations, docking, pipeline development) to reveal mechanistic insights into the dynamics of ligands and their receptors. Additionally, we use the latest developments in AI and ML and apply them with our expertise in structural biology and biochemical characterization.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed