Peer-reviewedCC BYChemical biology & drug design
Machine Learning‐Guided Identification of Madecassoside as a Potential RAD51 Modulator That Sensitizes Breast Cancer Cells to Cisplatin
- 1Dongduk Women's University
Related
- A novel stilbene derivative targets RAD51 activity and sensitizes DU145 prostate cancer cells to cisplatin
- Identification of esculin as a direct modulator of IGF1 in cervical cancer with integrated computational and experimental studies
- Identification of a natural product derived NaV1.5 sodium channel modulator through integrated machine learning and molecular modeling
- TmTRAF6 acts as a potential negative modulator of antimicrobial defense in Tenebrio molitor
- Systematic identification of p11 as a signaling modulator across the GPCRome
BibTeX
@article{oh2026machine,
title = {{Machine Learning‐Guided Identification of Madecassoside as a Potential RAD51 Modulator That Sensitizes Breast Cancer Cells to Cisplatin}},
author = {Minju Oh and Mi‐Young Jeong and Jiwon Choi},
journal = {Chemical biology \& drug design},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13661784},
note = {CC BY},
}
RIS
TY - JOUR
TI - Machine Learning‐Guided Identification of Madecassoside as a Potential RAD51 Modulator That Sensitizes Breast Cancer Cells to Cisplatin
AU - Minju Oh
AU - Mi‐Young Jeong
AU - Jiwon Choi
PY - 2026
DA - 2026/10/01
JO - Chemical biology & drug design
UR - https://europepmc.org/article/PMC/PMC13661784
SN - 1747-0277
SN - 1747-0285
ER -