Reiko Watanabe

发表

Constructing an in silico three-class predictor of human intestinal absorption with Caco-2 permeability and dried-DMSO solubility.

K. Mizuguchi, Tsuyoshi Esaki, C. Nagao, 2019, Journal of pharmaceutical sciences.

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

K. Mizuguchi, Tsuyoshi Esaki, C. Nagao, 2019, Scientific Reports.

Utilizing public and private sector data to build better machine learning models for the prediction of pharmacokinetic parameters.

K. Mizuguchi, Tsuyoshi Esaki, T. Honma, 2022, Drug discovery today.

Computational Model To Predict the Fraction of Unbound Drug in the Brain

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2019, J. Chem. Inf. Model..

Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value Ranges.

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2018, Molecular pharmaceutics.

Development of Simplified in Vitro P-Glycoprotein Substrate Assay and in Silico Prediction Models To Evaluate Transport Potential of P-Glycoprotein.

K. Mizuguchi, Tsuyoshi Esaki, R. Ohashi, 2019, Molecular pharmaceutics.

Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica Nanoparticles.

K. Mizuguchi, K. Higashisaka, Reiko Watanabe, 2023, ACS nano.

Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic Clearance

Kenji Mizuguchi, Hitoshi Kawashima, Yayoi Natsume-Kitatani, 2018, Molecular informatics.

A public-private partnership to enrich the development of in silico predictive models for pharmacokinetic and cardiotoxic properties.

K. Mizuguchi, T. Honma, Tomohiro Sato, 2021, Drug discovery today.

The prediction of food effect on drug oral absorption by machine learning

Hitoshi Kawashima, Reiko Watanabe, Masataka Kuroda, 2020 .

Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information

K. Mizuguchi, Yayoi Natsume-Kitatani, Reiko Watanabe, 2022, Molecular pharmaceutics.

Development of an In Silico Prediction Model for P-glycoprotein Efflux Potential in Brain Capillary Endothelial Cells toward the Prediction of Brain Penetration.

K. Mizuguchi, Tsuyoshi Esaki, Hitoshi Kawashima, 2021, Journal of medicinal chemistry.

The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery

Reiko Watanabe, Kenji Mizuguchi, Hiroshi Komura, 2023, Pharmaceutics.