Cardiosim-Tox: an interpretable multitask deep learning QSAR platform with multimodal feature fusion for predicting hERG, Cav1.2, and Nav1.5 blockade risk and potency.
- DOI
- 10.1007/s00204-026-04519-4
- Published
- 2026 Aug 11
- Container
- Archives of toxicology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00204-026-04519-4,
title = {Cardiosim-Tox: an interpretable multitask deep learning QSAR platform with multimodal feature fusion for predicting hERG, Cav1.2, and Nav1.5 blockade risk and potency.},
author = {Nursyafi FS and Kang B and Eom J and Izza RN and Fauzan AL and Putri NH and Hanum UL and Olivia Y and Rose SA and Lim KM},
year = {2026},
journal = {Archives of toxicology},
doi = {10.1007/s00204-026-04519-4},
url = {https://doi.org/10.1007/s00204-026-04519-4}
}RIS
TY - JOUR TI - Cardiosim-Tox: an interpretable multitask deep learning QSAR platform with multimodal feature fusion for predicting hERG, Cav1.2, and Nav1.5 blockade risk and potency. AU - Nursyafi FS AU - Kang B AU - Eom J AU - Izza RN AU - Fauzan AL AU - Putri NH AU - Hanum UL AU - Olivia Y AU - Rose SA AU - Lim KM PY - 2026 JO - Archives of toxicology DO - 10.1007/s00204-026-04519-4 UR - https://doi.org/10.1007/s00204-026-04519-4 ER -
APA
FS, N., B, K., J, E., RN, I., AL, F., NH, P., UL, H., Y, O., SA, R., & KM, L. (2026). Cardiosim-Tox: an interpretable multitask deep learning QSAR platform with multimodal feature fusion for predicting hERG, Cav1.2, and Nav1.5 blockade risk and potency.. Archives of toxicology. https://doi.org/10.1007/s00204-026-04519-4
Source records
- pubmed · retrieved 2026-09-26T11:28:13.729Z