Integrated machine learning and molecular dynamics-driven multi-target virtual screening of FDA-approved drugs for drug repurposing in breast cancer.

Kırboğa KK, Acar Ş, Şen M, Rudrapal M

DOI: 10.1007/s40203-026-00681-w
Published: 2026
Container: In silico pharmacology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s40203-026-00681-w,
  title = {Integrated machine learning and molecular dynamics-driven multi-target virtual screening of FDA-approved drugs for drug repurposing in breast cancer.},
  author = {Kırboğa KK and Acar Ş and Şen M and Rudrapal M},
  year = {2026},
  journal = {In silico pharmacology},
  doi = {10.1007/s40203-026-00681-w},
  url = {https://doi.org/10.1007/s40203-026-00681-w}
}

RIS

TY  - JOUR
TI  - Integrated machine learning and molecular dynamics-driven multi-target virtual screening of FDA-approved drugs for drug repurposing in breast cancer.
AU  - Kırboğa KK
AU  - Acar Ş
AU  - Şen M
AU  - Rudrapal M
PY  - 2026
JO  - In silico pharmacology
DO  - 10.1007/s40203-026-00681-w
UR  - https://doi.org/10.1007/s40203-026-00681-w
ER  -

APA

KK, K., Ş, A., M, Ş., & M, R. (2026). Integrated machine learning and molecular dynamics-driven multi-target virtual screening of FDA-approved drugs for drug repurposing in breast cancer.. In silico pharmacology. https://doi.org/10.1007/s40203-026-00681-w

Source records

pubmed · retrieved 2026-09-27T12:47:27.761Z