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ACS Omega|September 29, 2025
Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity PredictionDonny Ramadhan, Reiko Watanabe, Kenji MizuguchiACS Omega|May 11, 2026
In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance ProteinKaoru Takadera, Donny Ramadhan, Reiko Watanabe, et al.Pharmaceutics|November 25, 2023
The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug DiscoveryHiroshi Komura, Reiko Watanabe, Kenji MizuguchiJournal of Cheminformatics|April 30, 2025
Improving the accuracy of prediction models for small datasets of Cytochrome P450 inhibition with deep learningElpri Eka Permadi, Reiko Watanabe, Kenji MizuguchiComputational and Structural Biotechnology Journal|July 2, 2025
A novel method for endometrial cancer patient stratification considering ARID1A protein expression and activity with effective use of multi-omics dataJunsoo Song, Ayako Ui, Kenji Mizuguchi, et al.ACS Nano|May 31, 2023
Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica NanoparticlesMartin, Reiko Watanabe, Kosuke Hashimoto, 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 Pharmaceutics|December 20, 2022
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure InformationReiko Watanabe, Toshio Kawata, Shinya Ueda, 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.Pageof 39