Interpretable QSPR Modeling of Bipolar Disorder Drugs Using Topological Indices and Machine Learning Regression.

Çolakoğlu Ö, Benjamin AJ

DOI: 10.1021/acsomega.6c06753
Published: 2026 Sep 8
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.6c06753,
  title = {Interpretable QSPR Modeling of Bipolar Disorder Drugs Using Topological Indices and Machine Learning Regression.},
  author = {Çolakoğlu Ö and Benjamin AJ},
  year = {2026},
  journal = {ACS omega},
  doi = {10.1021/acsomega.6c06753},
  url = {https://doi.org/10.1021/acsomega.6c06753}
}

RIS

TY  - JOUR
TI  - Interpretable QSPR Modeling of Bipolar Disorder Drugs Using Topological Indices and Machine Learning Regression.
AU  - Çolakoğlu Ö
AU  - Benjamin AJ
PY  - 2026
JO  - ACS omega
DO  - 10.1021/acsomega.6c06753
UR  - https://doi.org/10.1021/acsomega.6c06753
ER  -

APA

Ö, Ç., & AJ, B. (2026). Interpretable QSPR Modeling of Bipolar Disorder Drugs Using Topological Indices and Machine Learning Regression.. ACS omega. https://doi.org/10.1021/acsomega.6c06753

Source records

pubmed · retrieved 2026-09-25T20:59:44.519Z
europe-pmc · retrieved 2026-09-25T20:59:44.539Z