Koichi Handa (K Handa)

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Molecular Docking

Machine Learning

Top Venues

Molecular pharmaceutics

Journal of chemical information and modeling

SAR and QSAR in environmental research

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

Publications

Yuki Umemori, Koichi Handa, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima
Development of a Novel In Silico Classification Model to Assess Reactive Metabolite Formation in the Cysteine Trapping Assay and Investigation of Important Substructures. Biomolecules 14 (5) (2024)
Koichi Handa, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima
Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue. Journal of chemical information and modeling (2024)
Koichi Handa, Shunta Sasaki, Satoshi Asano, Michiharu Kageyama, Takeshi Iijima, Andreas Bender
Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models. Journal of chemical information and modeling (2024)
Koichi Handa, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima
Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue. Journal of chemical information and modeling 64 (9) (2024)
Yuki Umemori, Koichi Handa, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima
Development of a Novel In Silico Classification Model to Assess Reactive Metabolite Formation in the Cysteine Trapping Assay and Investigation of Important Substructures. Biomolecules 14 (5) (2024)
Koichi Handa, Peter Wright, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima, Andreas Bender
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest. Molecular pharmaceutics (2023)
Koichi Handa, Seishiro Sakamoto, Michiharu Kageyama, Takeshi Iijima
Development of a 2D-QSAR Model for Tissue-to-Plasma Partition Coefficient Value with High Accuracy Using Machine Learning Method, Minimum Required Experimental Values, and Physicochemical Descriptors. European journal of drug metabolism and pharmacokinetics (2023)
Koichi Handa, Peter Wright, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima, Andreas Bender
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest. Molecular pharmaceutics (2023)
Koichi Handa, Peter Wright, Saki Yoshimura, Michiharu Kageyama, Takeshi Iijima, Andreas Bender
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest. Molecular pharmaceutics (2023)
Y Umemori, Koichi Handa, S Sakamoto, M Kageyama, T Iijima
QSAR model to predict K p,uu,brain with a small dataset, incorporating predicted values of related parameter. SAR and QSAR in environmental research 33 (11) (2022)