Integrating machine learning, deep learning, and docking to predict aristolochic acid A carcinogenesis.
- DOI
- 10.3389/fphar.2026.1873914
- Published
- 2026
- Container
- Frontiers in pharmacology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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:10.3389/fphar.2026.1873914,
title = {Integrating machine learning, deep learning, and docking to predict aristolochic acid A carcinogenesis.},
author = {Li L and Liao J and Chen X and Lin Z and Gong S and Huang J and Bi Z and Wang T and Chia X and Chen L and Xu Y and Liu H and Hao J and Qi J},
year = {2026},
journal = {Frontiers in pharmacology},
doi = {10.3389/fphar.2026.1873914},
url = {https://doi.org/10.3389/fphar.2026.1873914}
}RIS
TY - JOUR TI - Integrating machine learning, deep learning, and docking to predict aristolochic acid A carcinogenesis. AU - Li L AU - Liao J AU - Chen X AU - Lin Z AU - Gong S AU - Huang J AU - Bi Z AU - Wang T AU - Chia X AU - Chen L AU - Xu Y AU - Liu H AU - Hao J AU - Qi J PY - 2026 JO - Frontiers in pharmacology DO - 10.3389/fphar.2026.1873914 UR - https://doi.org/10.3389/fphar.2026.1873914 ER -
APA
L, L., J, L., X, C., Z, L., S, G., J, H., Z, B., T, W., X, C., L, C., Y, X., H, L., J, H., & J, Q. (2026). Integrating machine learning, deep learning, and docking to predict aristolochic acid A carcinogenesis.. Frontiers in pharmacology. https://doi.org/10.3389/fphar.2026.1873914
Source records
- pubmed · retrieved 2026-09-25T18:09:13.405Z