Reiko Watanabe

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Endothelial Cells

Health Information

Machine Learning

Top Venues

Molecular pharmaceutics

Scientific reports

Journal of medicinal chemistry

Journal of chemical information and modeling

This page only lists publications with an associated author ORCID identifier.

Publications

Hiroshi Komura, Reiko Watanabe, Kenji Mizuguchi
The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery. Pharmaceutics 15 (11) (2023)
Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Molecular pharmaceutics 20 (1) (2022)
Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Molecular pharmaceutics (2022)
Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Molecular pharmaceutics 20 (1) (2022)
Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Molecular pharmaceutics 20 (1) (2022)
Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Molecular pharmaceutics 20 (1) (2022)
Reiko Watanabe, Tsuyoshi Esaki, Rikiya Ohashi, Masataka Kuroda, Hitoshi Kawashima, Hiroshi Komura, Yayoi Natsume-Kitatani, Kenji Mizuguchi
Development of an In Silico Prediction Model for P-glycoprotein Efflux Potential in Brain Capillary Endothelial Cells toward the Prediction of Brain Penetration. Journal of medicinal chemistry 64 (5) (2021)
Reiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, Hitoshi Kawashima, Yayoi Natsume-Kitatani, Chioko Nagao, Kenji Mizuguchi
Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptor. Scientific reports 9 (1) (2019)
Tsuyoshi Esaki, Rikiya Ohashi, Reiko Watanabe, Yayoi Natsume-Kitatani, Hitoshi Kawashima, Chioko Nagao, Kenji Mizuguchi
Computational Model To Predict the Fraction of Unbound Drug in the Brain. Journal of chemical information and modeling 59 (7) (2019)
Rikiya Ohashi, Reiko Watanabe, Tsuyoshi Esaki, Tomomi Taniguchi, Nao Torimoto-Katori, Tomoko Watanabe, Yuko Ogasawara, Tsuyoshi Takahashi, Mikiko Tsukimoto, Kenji Mizuguchi
Development of Simplified in Vitro P-Glycoprotein Substrate Assay and in Silico Prediction Models To Evaluate Transport Potential of P-Glycoprotein. Molecular pharmaceutics 16 (5) (2019)
Reiko Watanabe, Tsuyoshi Esaki, Hitoshi Kawashima, Yayoi Natsume-Kitatani, Chioko Nagao, Rikiya Ohashi, Kenji Mizuguchi
Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value Ranges. Molecular pharmaceutics 15 (11) (2018)