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SAR and QSAR in Environmental Research Volume 28, 2017 - Issue 10: Special Issue: 9th International Symposium on Computational Methods in Toxicology and Pharmacology Integrating Internet Resources (CMTPI-2017) - Part 1. Guest Editors: A.K. Saxena and M. Saxena
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Special Issue: 9th International Symposium on Computational Methods in Toxicology and Pharmacology Integrating Internet Resources (CMTPI-2017) - Part 1. Guest Editors: A.K. Saxena and M. Saxena

In silico prediction of multiple-category classification model for cytochrome P450 inhibitors and non-inhibitors using machine-learning methodFootnote$

J. H. LeeNational Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
,
S. BasithNational Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
,
M. CuiNational Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
,
B. KimNational Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of Korea
&
S. ChoiNational Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Republic of KoreaCorrespondence[email protected]
Pages 863-874 | Received 27 Oct 2017, Accepted 29 Oct 2017, Published online: 29 Nov 2017

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