Research ArticleArticle
In Silico Prediction of Major Drug Clearance Pathways by Support Vector Machines with Feature-Selected Descriptors
Kouta Toshimoto, Naomi Wakayama, Makiko Kusama, Kazuya Maeda, Yuichi Sugiyama and Yutaka Akiyama
Drug Metabolism and Disposition November 2014, 42 (11) 1811-1819; DOI: https://doi.org/10.1124/dmd.114.057893
Kouta Toshimoto
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)
Naomi Wakayama
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)
Makiko Kusama
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)
Kazuya Maeda
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)
Yuichi Sugiyama
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)
Yutaka Akiyama
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan (K.T., Y.A.); Drug Metabolism and Pharmacokinetics Japan, Biopharmaceutical Assessment Core Function Unit, Eisai Product Creation Systems, Eisai Co., Ltd., Ibaraki, Japan (N.W.); Laboratory of Pharmaceutical Regulatory Science (M.K.) and Laboratory of Molecular Pharmacokinetics (K.M.), Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan; and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN Research Cluster for Innovation, RIKEN, Yokohama, Japan (Y.S.)

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Research ArticleArticle
Clearance Pathway Prediction by Support Vector Machines
Kouta Toshimoto, Naomi Wakayama, Makiko Kusama, Kazuya Maeda, Yuichi Sugiyama and Yutaka Akiyama
Drug Metabolism and Disposition November 1, 2014, 42 (11) 1811-1819; DOI: https://doi.org/10.1124/dmd.114.057893
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