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Employment (2)

Teijin Pharma: Hino, Tokyo, JP

2017-01-01 to present | Researcher (DMPK Research Department)
Employment
Source: Self-asserted source
Koichi Handa

FUJIFILM Toyama Chemical: Toyama, Toyama, JP

2007-04-01 to 2016-12-31 | Researcher (Drug metabolism and pharmacokinetics department)
Employment
Source: Self-asserted source
Koichi Handa

Works (24)

A Practical In Silico Method for Predicting Compound Brain Concentration–Time Profiles: Combination of PK Modeling and Machine Learning

Molecular Pharmaceutics
2024-10-07 | Journal article
DOI: 10.1021/acs.molpharmaceut.4c00584
Contributors: Koichi Handa; Daichi Fujita; Mariko Hirano; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
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Crossref

Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models

Journal of Chemical Information and Modeling
2024-09-23 | Journal article
DOI: 10.1021/acs.jcim.4c00921
Contributors: Koichi Handa; Shunta Sasaki; Satoshi Asano; Michiharu Kageyama; Takeshi Iijima; Andreas Bender
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Crossref

A practical in silico method for predicting compound brain concentration-time profiles: combination of PK modeling and machine learning

2024-09-20 | Preprint
DOI: 10.26434/chemrxiv-2024-m3r7b-v2
Contributors: Koichi Handa; Daichi Fujita; Mariko Hirano; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
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Crossref

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
2024-05-13 | Journal article
DOI: 10.1021/acs.jcim.4c00046
Contributors: Koichi Handa; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
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Crossref

Development of a Novel In Silico Classification Model to Assess Reactive Metabolite Formation in the Cysteine Trapping Assay and Investigation of Important Substructures

Biomolecules
2024-04-30 | Journal article
DOI: 10.3390/biom14050535
Contributors: Yuki Umemori; Koichi Handa; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
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Crossref
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Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue

2024-04-04 | Preprint
DOI: 10.26434/chemrxiv-2023-qsrxp-v2
Contributors: Koichi Handa; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

Development of a practical in silico method for predicting compound brain concentration-time profiles in mice: combination of modeling and machine learning simulation

2024-03-20 | Preprint
DOI: 10.26434/chemrxiv-2024-m3r7b
Contributors: Koichi Handa; Daichi Fujita; Mariko Hirano; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

Prediction of Inhibitory Activity Against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models

2024-03-13 | Preprint
DOI: 10.26434/chemrxiv-2024-l2dk7
Contributors: Koichi Handa; Shunta Sasaki; Satoshi Asano; Michiharu Kageyama; Takeshi Iijima; Andreas Bender
Source: check_circle
Crossref

Development of a novelin silicoclassification model to assess reactive metabolite formation in the cysteine trapping assay and investigation of important substructures

2024-02-14 | Preprint
DOI: 10.1101/2024.02.12.580017
Contributors: Yuki Umemori; Koichi Handa; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

Combined data-driven and mechanism-based approaches for human-intestinal-absorption prediction in the early drug-discovery stage

Digital Discovery
2023 | Journal article
DOI: 10.1039/D3DD00144J
Contributors: Koichi Handa; Sakae Sugiyama; Michiharu Kageyama; Takeshi Iijima
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Crossref

On The Difficulty of Validating Molecular Generative Models Realistically: A Case Study on Public and Proprietary Data

2023-11-20 | Preprint
DOI: 10.26434/chemrxiv-2023-lbvgn-v2
Contributors: Koichi Handa; Morgan Thomas; Michiharu Kageyama; Takeshi Iijima; Andreas Bender
Source: check_circle
Crossref

Prediction of Drug Distribution to Each Tissue Using Random Forest Twice with In Vitro Experimental Values and Predicted Kp Values of Other Tissues

2023-11-09 | Preprint
DOI: 10.26434/chemrxiv-2023-qsrxp
Contributors: Koichi Handa; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

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
2023-07 | Journal article
DOI: 10.1007/s13318-023-00832-w
Contributors: Koichi Handa; Seishiro Sakamoto; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

Combined Data-driven and Mechanism-based Approaches for Human-Intestinal-Absorption Prediction in Early Drug-Discovery Stage

2023-07-19 | Preprint
DOI: 10.26434/chemrxiv-2023-wkjpg
Contributors: Koichi Handa; Sakae Sugiyama; Michiharu Kageyama; Takeshi Iijima
Source: check_circle
Crossref

On The Difficulty of Validating Molecular Generative Models Realistically: A Case Study on Public and Proprietary Data

2023-06-16 | Preprint
DOI: 10.26434/chemrxiv-2023-lbvgn
Contributors: Koichi Handa; Morgan Thomas; Michiharu Kageyama; Takeshi Iijima; Andreas Bender
Source: check_circle
Crossref

Prediction of Compound Plasma Concentration–Time Profiles in Mice Using Random Forest

Molecular Pharmaceutics
2023-06-05 | Journal article
DOI: 10.1021/acs.molpharmaceut.3c00071
Contributors: Koichi Handa; Peter Wright; Saki Yoshimura; Michiharu Kageyama; Takeshi Iijima; Andreas Bender
Source: check_circle
Crossref

QSAR model to predict Kp,uu,brain with a small dataset, incorporating predicted values of related parameter

SAR and QSAR in Environmental Research
2022-11-02 | Journal article
DOI: 10.1080/1062936X.2022.2149619
Contributors: Y. Umemori; K. Handa; S. Sakamoto; M. Kageyama; T. Iijima
Source: check_circle
Crossref

Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data.

Journal of chemical information and modeling
2022-08-22 | Journal article
DOI: 10.1021/acs.jcim.2c00318
PMID: 35993595
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Prediction of Total Drug Clearance in Humans Using Animal Data: Proposal of a Multimodal Learning Method Based on Deep Learning.

Journal of pharmaceutical sciences
2021-01-23 | Journal article
DOI: 10.1016/j.xphs.2021.01.020
PMID: 33497658
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Three-dimensional quantitative structure-activity relationship analysis for human pregnane X receptor for the prediction of CYP3A4 induction in human hepatocytes: structure-based comparative molecular field analysis.

Journal of pharmaceutical sciences
2014-11-07 | Journal article
DOI: 10.1002/jps.24235
PMID: 25381754
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

In silico study on the inhibitory interaction of drugs with wild-type CYP2D6.1 and the natural variant CYP2D6.17.

Drug metabolism and pharmacokinetics
2013-07-16 | Journal article
DOI: 10.2133/dmpk.dmpk-13-rg-044
PMID: 23857029
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Three-dimensional quantitative structure-activity relationship analysis of inhibitors of human and rat cytochrome P4503A enzymes.

Drug metabolism and pharmacokinetics
2013-01-29 | Journal article
DOI: 10.2133/dmpk.dmpk-12-rg-133
PMID: 23358262
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Metal Ion Homeostasis Mediated by NRAMP Transporters in Plant Cells - Focused on Increased Resistance to Iron and Cadmium Ion

Crosstalk and Integration of Membrane Trafficking Pathways
2012-04-11 | Book chapter
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Calcium ions are involved in the delay of plant cell cycle progression by abiotic stresses.

FEBS letters
2006-01-04 | Journal article
DOI: 10.1016/j.febslet.2005.12.074
PMID: 16405971
Contributors: Koichi Handa
Source: Self-asserted source
Koichi Handa

Peer review (4 reviews for 3 publications/grants)

Review activity for Computational and Structural Biotechnology Journal (1)
Review activity for European journal of drug metabolism and pharmacokinetics. (1)
Review activity for Journal of chemical information and modeling. (2)
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