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International Journal of Molecular Sciences|August 14, 2025
Exploring Adverse Event Associations of Predicted PXR Agonists Using the FAERS DatabaseSaki Yamada, Yoshihiro UesawaYakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|February 2, 2018
[Adverse Effect Predictions Based on Computational Toxicology Techniques and Large-scale Databases]Yoshihiro UesawaBioorganic & Medicinal Chemistry Letters|September 5, 2018
Quantitative structure-activity relationship analysis using deep learning based on a novel molecular image input techniqueYoshihiro UesawaInternational Journal of Molecular Sciences|February 10, 2024
Progress in Predicting Ames Test Outcomes from Chemical Structures: An In-Depth Re-Evaluation of Models from the 1st and 2nd Ames/QSAR International Challenge ProjectsYoshihiro UesawaYakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|April 3, 2020
[AI-based QSAR Modeling for Prediction of Active Compounds in MIE/AOP]Yoshihiro UesawaToxicological Research|January 15, 2024
Efficiency of pharmaceutical toxicity prediction in computational toxicologyYoshihiro UesawaInternational Journal of Molecular Sciences|June 12, 2026
DeepSnap: From Three-Dimensional Molecular Images to Quantitative Structure-Activity PredictionsYoshihiro UesawaPharmaceuticals (Basel, Switzerland)|July 29, 2023
Analysis of Corticosteroid-Induced Glaucoma Using the Japanese Adverse Drug Event Reporting DatabaseAyano Kawabe, Yoshihiro UesawaThe Journal of Pharmacy and Pharmacology|July 29, 2006
Effects of cranberry juice on nifedipine pharmacokinetics in ratsYoshihiro Uesawa, Kiminori MohriBiological & Pharmaceutical Bulletin|June 7, 2006
UV-irradiated grapefruit juice loses pharmacokinetic interaction with nifedipine in ratsYoshihiro Uesawa, Kiminori MohriPageof 20