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个人简介
Richard A. Friesner is a computational chemist whose work is focused on the development of methods for quantum chemistry, quantum dynamics, biomolecular simulation, and structure based drug discovery. Key innovative software programs from his laboratory include Jaguar (quantum chemistry), Glide (protein-ligand docking), WaterMap (elucidation of active site water structure), OPLS3 (force field), and FEP/REST (protein-ligand binding affinity), all of which are widely used in the pharmaceutical industry. Applications studies include enzymatic catalysis in metalloenzymes such as methane monooxygenase, electron transfer and migration in solar energy conversion systems, and investigation of a wide range of protein-ligand complexes. He received his B. S. degree in chemistry from the University of Chicago in 1973, and obtained his Ph.D. in 1979 at the University of California, Berkeley. He was then a postdoctoral fellow at the Massachusetts Institute of Technology from 1979-1982. He joined the Chemistry Department at the University of Texas at Austin in 1982 as an Assistant Professor, and in 1990, he became Professor of Chemistry at Columbia University, where he is currently the William P. Schweitzer Professor of Chemistry. He is a Fellow of the American Academy of Arts and Sciences and a member of the National Academy of Sciences.
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论文共 466 篇作者统计合作学者相似作者
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biorxiv(2024)
arXiv (Cornell University) (2023)
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Chemphyschem : a European journal of chemical physics and physical chemistry (2023)
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Yunyao Xu,Jia Chen, Alexander P. Aydt, Lichirui Zhang,Ivan Sergeyev,Eric G. Keeler,Bonnie Choi,Shoushou He,David R. Reichman,Richard A. Friesner,Colin Nuckolls,Michael L. Steigerwald,
CHEMPHYSCHEM (2023)
The Journal of chemical physicsno. 14 (2023): 140901-140901
Journal of chemical information and modelingno. 10 (2023): 3171-3185
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Journal of chemical theory and computationno. 21 (2023): 7567-7576
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JOURNAL OF CHEMICAL THEORY AND COMPUTATIONno. 9 (2022)
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