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Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan
|
March 1, 2021
[Consideration on Industry-Academia Partnering in Drug Discovery Development: Based on a Questionnaire Survey of Pharmaceutical Companies and Academia]
Kaori Iida, Takahiko Yano, Megumi Ikemori, et al.
Journal of Chemical Information and Modeling
|
July 27, 2012
Docking simulation study and kinase selectivity of f152A1 and its analogs
Megumi Ikemori-Kawada, Atsushi Inoue, Masaki Goto, et al.
Journal of Chemical Information and Modeling
|
December 10, 2009
Conformational analyses and MO studies of f152A1 and its analogues as potent protein kinase inhibitors
Megumi Ikemori-Kawada, Takatoshi Kawai, Masaki Goto, et al.
Anticancer Research
|
May 31, 2024
Antitumor Activity of Tasurgratinib as an Orally Available FGFR1-3 Inhibitor in Cholangiocarcinoma Models With FGFR2-fusion
Satoshi Kawano, Megumi Ikemori Kawada, Sayo Fukushima, et al.
Cancer Medicine
|
May 8, 2018
Lenvatinib inhibits angiogenesis and tumor fibroblast growth factor signaling pathways in human hepatocellular carcinoma models
Masahiro Matsuki, Taisuke Hoshi, Yuji Yamamoto, et al.
Molecular Cancer Therapeutics
|
January 23, 2014
Novel ATP-competitive MEK inhibitor E6201 is effective against vemurafenib-resistant melanoma harboring the MEK1-C121S mutation in a preclinical model
Yusuke Narita, Kiyoshi Okamoto, Megumi Ikemori Kawada, et al.
ACS Medicinal Chemistry Letters
|
January 16, 2015
Distinct binding mode of multikinase inhibitor lenvatinib revealed by biochemical characterization
Kiyoshi Okamoto, Megumi Ikemori-Kawada, Anja Jestel, et al.
Mutagenesis
|
May 13, 2022
Optimizing machine-learning models for mutagenicity prediction through better feature selection
Nicolas K Shinada, Naoki Koyama, Megumi Ikemori, et al.
NPJ Systems Biology and Applications
|
December 18, 2023
Asking the right questions for mutagenicity prediction from BioMedical text
Sathwik Acharya, Nicolas K Shinada, Naoki Koyama, et al.
Bioorganic & Medicinal Chemistry Letters
|
April 30, 2010
Discovery of an in vitro and in vivo potent resorcylic lactone analog of LL-Z1640-2 as anti-inflammatory lead, II
Yongchun Shen, Hong Du, Makoto Kotake, et al.
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Search research articles
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Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan
|
March 1, 2021
[Consideration on Industry-Academia Partnering in Drug Discovery Development: Based on a Questionnaire Survey of Pharmaceutical Companies and Academia]
Kaori Iida, Takahiko Yano, Megumi Ikemori, et al.
Journal of Chemical Information and Modeling
|
July 27, 2012
Docking simulation study and kinase selectivity of f152A1 and its analogs
Megumi Ikemori-Kawada, Atsushi Inoue, Masaki Goto, et al.
Journal of Chemical Information and Modeling
|
December 10, 2009
Conformational analyses and MO studies of f152A1 and its analogues as potent protein kinase inhibitors
Megumi Ikemori-Kawada, Takatoshi Kawai, Masaki Goto, et al.
Anticancer Research
|
May 31, 2024
Antitumor Activity of Tasurgratinib as an Orally Available FGFR1-3 Inhibitor in Cholangiocarcinoma Models With FGFR2-fusion
Satoshi Kawano, Megumi Ikemori Kawada, Sayo Fukushima, et al.
Cancer Medicine
|
May 8, 2018
Lenvatinib inhibits angiogenesis and tumor fibroblast growth factor signaling pathways in human hepatocellular carcinoma models
Masahiro Matsuki, Taisuke Hoshi, Yuji Yamamoto, et al.
Molecular Cancer Therapeutics
|
January 23, 2014
Novel ATP-competitive MEK inhibitor E6201 is effective against vemurafenib-resistant melanoma harboring the MEK1-C121S mutation in a preclinical model
Yusuke Narita, Kiyoshi Okamoto, Megumi Ikemori Kawada, et al.
ACS Medicinal Chemistry Letters
|
January 16, 2015
Distinct binding mode of multikinase inhibitor lenvatinib revealed by biochemical characterization
Kiyoshi Okamoto, Megumi Ikemori-Kawada, Anja Jestel, et al.
Mutagenesis
|
May 13, 2022
Optimizing machine-learning models for mutagenicity prediction through better feature selection
Nicolas K Shinada, Naoki Koyama, Megumi Ikemori, et al.
NPJ Systems Biology and Applications
|
December 18, 2023
Asking the right questions for mutagenicity prediction from BioMedical text
Sathwik Acharya, Nicolas K Shinada, Naoki Koyama, et al.
Bioorganic & Medicinal Chemistry Letters
|
April 30, 2010
Discovery of an in vitro and in vivo potent resorcylic lactone analog of LL-Z1640-2 as anti-inflammatory lead, II
Yongchun Shen, Hong Du, Makoto Kotake, et al.
Page
of 2