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Dr. Abagyan’s research focuses on developing novel technologies for structure-based drug discovery optimization and structural systems biology. His lab screens specific biomedical targets to discover new drug leads and validate their potential experimentally. His applications include cancer, neurodegeneration, and various viral and endocrine diseases. He extends the reach of docking models to explore alternative functional states of allosteric pockets in kinases, G protein-coupled receptors, and nuclear receptors. He has derived comprehensive sets of ligand pockets, referred to as the Pocketome, that map competing ligands and metabolites across organisms. This data aids in target identification and multi-target pharmacology profiling, allowing for the prediction of potential adverse effects from environmental chemicals using docking models. In addition to his research contributions, he has received several awards for excellence in his field and has held leadership positions at prestigious institutions, demonstrating a commitment to innovation in pharmaceutical sciences and teaching.
Computational Biology & Skirball Institute of Biomolecular Medicine • New York
Led research and development projects in computational biology.
Novartis Institute, GNF • Not specified
Oversaw projects in drug discovery and development.
MolSoft • Not specified
Established a company focusing on software tools for drug discovery.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).