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Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code |
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| Authors: | Jessica H Hartman Steven D Cothren Sun-Ha Park Chul-Ho Yun Jerry A Darsey Grover P Miller |
| Institution: | 1. Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W. Markham, Slot 516, Little Rock, AR 72205, USA;2. Solibyte Solutions, Conway, AR 70234, USA;3. School of Biological Sciences and Technology, Chonnam National University, Gwangju 500-575, Republic of Korea;4. Department of Chemistry, University of Arkansas at Little Rock, Little Rock, AR 72204, USA |
| Abstract: | |
| Keywords: | Cytochrome P450 CYP2C19 Artificial neural networks Catalytic parameters Chirality codes Enantioselective Enantiomer |
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