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Tsuyoshi Esaki

Showing results (1-10 of 20) with videos related to

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Journal of Cheminformatics|March 2, 2026
Data curation in cheminformatics: importance and implementationTsuyoshi Esaki, Kazuyoshi Ikeda
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|December 15, 2015
Fluorescence Probing Live Single-cell Mass Spectrometry for Direct Analysis of Organelle MetabolismTsuyoshi Esaki, Tsutomu Masujima
Journal of Chemical Information and Modeling|June 12, 2026
Multitask Learning for Membrane Permeability Prediction across Assays with Prediction Reliability AssessmentYuki Doi, Tsuyoshi Esaki
Journal of Cheminformatics|March 14, 2024
A new workflow for the effective curation of membrane permeability data from open ADME informationTsuyoshi Esaki, Tomoki Yonezawa, Kazuyoshi Ikeda
Drug Metabolism and Pharmacokinetics|April 10, 2026
Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discoveryKoichi Handa, Hideaki Mamada, Shinji Nakayama, et al.
Plant & Cell Physiology|March 12, 2015
Live Single-Cell Plant Hormone Analysis by Video-Mass SpectrometryTakafumi Shimizu, Shinya Miyakawa, Tsuyoshi Esaki, et al.
Scientific Reports|December 13, 2019
Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptorReiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Computational Model To Predict the Fraction of Unbound Drug in the BrainTsuyoshi Esaki, Rikiya Ohashi, Reiko Watanabe, et al.
Molecular Informatics|September 25, 2018
Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic ClearanceTsuyoshi Esaki, Reiko Watanabe, Hitoshi Kawashima, et al.
Molecular Pharmaceutics|September 28, 2018
Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value RangesReiko Watanabe, Tsuyoshi Esaki, Hitoshi Kawashima, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Cheminformatics|March 2, 2026
Data curation in cheminformatics: importance and implementationTsuyoshi Esaki, Kazuyoshi Ikeda
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|December 15, 2015
Fluorescence Probing Live Single-cell Mass Spectrometry for Direct Analysis of Organelle MetabolismTsuyoshi Esaki, Tsutomu Masujima
Journal of Chemical Information and Modeling|June 12, 2026
Multitask Learning for Membrane Permeability Prediction across Assays with Prediction Reliability AssessmentYuki Doi, Tsuyoshi Esaki
Journal of Cheminformatics|March 14, 2024
A new workflow for the effective curation of membrane permeability data from open ADME informationTsuyoshi Esaki, Tomoki Yonezawa, Kazuyoshi Ikeda
Drug Metabolism and Pharmacokinetics|April 10, 2026
Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discoveryKoichi Handa, Hideaki Mamada, Shinji Nakayama, et al.
Plant & Cell Physiology|March 12, 2015
Live Single-Cell Plant Hormone Analysis by Video-Mass SpectrometryTakafumi Shimizu, Shinya Miyakawa, Tsuyoshi Esaki, et al.
Scientific Reports|December 13, 2019
Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptorReiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Computational Model To Predict the Fraction of Unbound Drug in the BrainTsuyoshi Esaki, Rikiya Ohashi, Reiko Watanabe, et al.
Molecular Informatics|September 25, 2018
Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic ClearanceTsuyoshi Esaki, Reiko Watanabe, Hitoshi Kawashima, et al.
Molecular Pharmaceutics|September 28, 2018
Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value RangesReiko Watanabe, Tsuyoshi Esaki, Hitoshi Kawashima, et al.
Pageof 2