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Ashutosh Tripathi I received my Bachelor’s degree in Pharmaceutical Science from the Institute of Engineering and Technology, India, in 2002. Thereafter, I obtained my Master’s degree in Cheminformatics from the Department of Chemistry at the University of Manchester, U.K. My inclination towards computational drug design encouraged me to apply for Ph.D. training, and I joined the Kellogg Research Group at Virginia Commonwealth University (VCU) in the Spring of 2005. Throughout my academic experiences, I have developed a strong interest and firm commitment to scientific research. Most of my research involves collaborative projects with different research groups that include pharmacologists, synthetic chemists and clinicians within and outside VCU. As a result of these collaborations with multidisciplinary research groups, I have accumulated several research publications and have obtained invaluable experience in team dynamics. Currently, I am writing my dissertation and seeking for a good postdoctoral opportunity. RESEARCH PROJECTS: 1) Development of 3D Map Based de novo Drug Design Software Virginia Commonwealth University, Richmond Work focuses on design and development of automated de novo drug design tool based on HINT 3D complementary maps. 2) Development of Novel Cavity Detection Software Tool Virginia Commonwealth University, Richmond Work focuses on design, development and validation of automated computational tool for detecting and delineating binding pockets in a protein crystal structure. 3) Design and Computational Modeling of Substituted Pyrrole Analogs as Anti-Cancer Agents VCU/University of Richmond Currently studying the binding mode and interactions of substituted pyrroles in the colchicine binding site in collaboration with University of Richmond. 4) Molecular Modeling of Stilbene Analogs as Anti-Tumor Agents with Minimal Bone Marrow Toxicity Virginia Commonwealth University, Richmond Work focuses on structure activity relationship analysis and drug lead optimization to achieve higher activity with reduced toxicity in collaboration with Massey Cancer Center. 5) Computational Modeling of Complexity of Protonation States in HIV-1 Protease Inhibitor Complexes Virginia Commonwealth University, Richmond Implemented the computational titration algorithm to study the complexity of ligand binding and protonation state in the active site of HIV-1 protease. AWARDS AND HONORS *American Association of Pharmaceutical Scientists (AAPS) Graduate Student Symposium Award from the Drug Design and Discovery section sponsored by Bristol-Myers and Squibb, 2008. The program is designed to recognize excellence in graduate education in the field. |