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NMR-TS: de novo molecule identification from NMR spectra
Jinzhe Zhanga Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan;b RIKEN Center for Advanced Intelligence Project, Tokyo, JapanView further author information
, Kei Terayamab RIKEN Center for Advanced Intelligence Project, Tokyo, Japan;c Graduate School of Medicine, Kyoto University, Kyoto, Japan;d RIKEN Medical Sciences Innovation Hub Program (MIH), Yokohama, Japan;e Graduate School of Medical Life Science, Yokohama City University, Yokohama, JapanView further author information
, Masato Sumitab RIKEN Center for Advanced Intelligence Project, Tokyo, Japan;f International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science, Tsukuba, JapanView further author information
, Kazuki Yoshizoeb RIKEN Center for Advanced Intelligence Project, Tokyo, JapanView further author information
, Kengo Itoe Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan;g RIKEN Center for Sustainable Resource Science, Yokohama, JapanView further author information
, Jun Kikuchie Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan;g RIKEN Center for Sustainable Resource Science, Yokohama, Japan;h Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, JapanView further author information
& Koji Tsudaa Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan;b RIKEN Center for Advanced Intelligence Project, Tokyo, Japan;i Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, JapanCorrespondence[email protected]
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Pages 552-561
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Received 06 May 2020, Accepted 05 Jul 2020, Published online: 30 Jul 2020
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