Ruben Abagyan, Ph.D.
Skaggs School of Pharmacy and Pharmaceutical Sciences
Dr. Abagyan’s research focuses on the development of novel technologies for structure based drug discovery and optimization, structural chemical genomics and protein modeling. The methods are then applied to specific biomedical targets to discover de novo drug leads for new protein targets or pockets, or optimize the lead compounds using the structure-based approach. We are particularly interested in modeling alternative functional states or structurally uncharacterized members of the kinase, GPCR and Nuclear Receptor families of proteins. The recently derived encyclopedia of biomolecular pockets (the pocketome) present in the cell and represented by an ensemble of states and with multiple chemical modulators combined with the accurate docking techniques also allows us to identify environmental chemicals and drug metabolites responsible for endocrine disruption and other adverse effects.
Education: M.c. laude M.S. in Molecular and Chemical Biophysics (1980) Moscow Inst. Physics & Technology; Ph.D. in Protein Structure Prediction (1984) Moscow State University.
Awards and Honors: Two CapCure awards for excellence in prostate cancer research (2000, 2002); Princess Diana award and medal, Sydney (2003); UCSD Faculty and Staff Excellence Award (2007).
Leadership Experience: Director of Computational Biology & IT at Skirball Inst. of Biomolecular Medicine, New York (1994-1999); Director at Novartis Institute for Functional Genomics (1999-2002); SBDD chair, MipTec, Basel, Switzerland (2002-2009); Founder of MolSoft (1994); Member of Board of Directors of Syrrx (2001-2002); SAB Member of Plexus Vaccines (2001-2003); Editorial Boards of Biology Direct, Molecular & Cellular Proteomics, Cancer Genomics & Proteomics (current); Chairman of the UCSD Bioinformatics research rotation committee (2009-).
Abagyan et al. (1994). Biased probability Monte Carlo conformational searches. J Mol Biol 235:983-1002.