Reiko Watanabe

11PUBLICATIONS
14CO-AUTHORS
Cheminformatics and quantitative structure-activity relationshipsAdversarial machine learningPharmaceutical delivery technologiesComputational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)Pharmacogenomics
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (11)

|May 11, 2026
In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein.

|Oct 22, 2025
Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization.

Shoma Ito, Takuto Koyama, Shigeyuki Matsumoto

|Sep 29, 2025
Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction.

Donny Ramadhan, Reiko Watanabe, Kenji Mizuguchi

|Apr 30, 2025
Improving the accuracy of prediction models for small datasets of Cytochrome P450 inhibition with deep learning.

Elpri Eka Permadi, Reiko Watanabe, Kenji Mizuguchi

|Nov 25, 2023
The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery.

Hiroshi Komura, Reiko Watanabe, Kenji Mizuguchi

|Dec 20, 2022
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information.

Reiko Watanabe, Toshio Kawata, Shinya Ueda

Pageof 2

Frequent Collaborators

9 joint publications

Kenji Mizuguchi

4 joint publications

Tsuyoshi Esaki

2 joint publications

Rikiya Ohashi

2 joint publications

Hitoshi Kawashima