An Explainable Machine Learning-Based QSAR Framework for Predicting Thrombin Inhibitory Activity.
- DOI
- 10.3390/ph19091411
- Published
- 2026 Sep 7
- Container
- Pharmaceuticals (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ph19091411,
title = {An Explainable Machine Learning-Based QSAR Framework for Predicting Thrombin Inhibitory Activity.},
author = {Kaya AO and Emre MC},
year = {2026},
journal = {Pharmaceuticals (Basel, Switzerland)},
doi = {10.3390/ph19091411},
url = {https://doi.org/10.3390/ph19091411}
}RIS
TY - JOUR TI - An Explainable Machine Learning-Based QSAR Framework for Predicting Thrombin Inhibitory Activity. AU - Kaya AO AU - Emre MC PY - 2026 JO - Pharmaceuticals (Basel, Switzerland) DO - 10.3390/ph19091411 UR - https://doi.org/10.3390/ph19091411 ER -
APA
AO, K., & MC, E. (2026). An Explainable Machine Learning-Based QSAR Framework for Predicting Thrombin Inhibitory Activity.. Pharmaceuticals (Basel, Switzerland). https://doi.org/10.3390/ph19091411
Source records
- pubmed · retrieved 2026-09-26T13:44:32.671Z