Machine Learning-Based Models to Predict Drug-Induced Liver Injury (DILI) to Assist Medicinal Chemistry.
- DOI
- 10.1021/acs.jmedchem.5c02888
- Published
- 2026 Jul 9
- Container
- Journal of medicinal chemistry
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jmedchem.5c02888,
title = {Machine Learning-Based Models to Predict Drug-Induced Liver Injury (DILI) to Assist Medicinal Chemistry.},
author = {Evangelista D and Nelson E and Tehan B and Bagnolini G and Roberti M and Bottegoni G},
year = {2026},
journal = {Journal of medicinal chemistry},
doi = {10.1021/acs.jmedchem.5c02888},
url = {https://doi.org/10.1021/acs.jmedchem.5c02888}
}RIS
TY - JOUR TI - Machine Learning-Based Models to Predict Drug-Induced Liver Injury (DILI) to Assist Medicinal Chemistry. AU - Evangelista D AU - Nelson E AU - Tehan B AU - Bagnolini G AU - Roberti M AU - Bottegoni G PY - 2026 JO - Journal of medicinal chemistry DO - 10.1021/acs.jmedchem.5c02888 UR - https://doi.org/10.1021/acs.jmedchem.5c02888 ER -
APA
D, E., E, N., B, T., G, B., M, R., & G, B. (2026). Machine Learning-Based Models to Predict Drug-Induced Liver Injury (DILI) to Assist Medicinal Chemistry.. Journal of medicinal chemistry. https://doi.org/10.1021/acs.jmedchem.5c02888
Source records
- pubmed · retrieved 2026-09-26T18:53:46.190Z