From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform.
- DOI
- 10.1039/d6ra05786a
- Published
- 2026 Sep 30
- Container
- RSC advances
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1039/d6ra05786a,
title = {From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform.},
author = {Varsou DD and Tsoumanis A and Longhin EM and Dusinska M and Mintis DG and Kolokathis PD and Papavasileiou KD and Lynch I and Melagraki G and Afantitis A},
year = {2026},
journal = {RSC advances},
doi = {10.1039/d6ra05786a},
url = {https://doi.org/10.1039/d6ra05786a}
}RIS
TY - JOUR TI - From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform. AU - Varsou DD AU - Tsoumanis A AU - Longhin EM AU - Dusinska M AU - Mintis DG AU - Kolokathis PD AU - Papavasileiou KD AU - Lynch I AU - Melagraki G AU - Afantitis A PY - 2026 JO - RSC advances DO - 10.1039/d6ra05786a UR - https://doi.org/10.1039/d6ra05786a ER -
APA
DD, V., A, T., EM, L., M, D., DG, M., PD, K., KD, P., I, L., G, M., & A, A. (2026). From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform.. RSC advances. https://doi.org/10.1039/d6ra05786a
Source records
- pubmed · retrieved 2026-11-10T07:18:48.589Z