KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction.
- DOI
- 10.3390/ph19091458
- Published
- 2026 Sep 14
- Container
- Pharmaceuticals (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ph19091458,
title = {KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction.},
author = {Bedoui A and Duraisamy N and Cherkaoui M},
year = {2026},
journal = {Pharmaceuticals (Basel, Switzerland)},
doi = {10.3390/ph19091458},
url = {https://doi.org/10.3390/ph19091458}
}RIS
TY - JOUR TI - KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction. AU - Bedoui A AU - Duraisamy N AU - Cherkaoui M PY - 2026 JO - Pharmaceuticals (Basel, Switzerland) DO - 10.3390/ph19091458 UR - https://doi.org/10.3390/ph19091458 ER -
APA
A, B., N, D., & M, C. (2026). KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction.. Pharmaceuticals (Basel, Switzerland). https://doi.org/10.3390/ph19091458
Source records
- pubmed · retrieved 2026-09-26T17:33:36.766Z