7-ketocholesterol and 27-hydroxycholesterol decreased doxorubicin sensitivity in breast cancer cells: estrogenic activity and mTOR pathway Chun-Wei Wang et al, 2017, Oncotarget CrossRef
Estrogen Receptors as Molecular Targets of Endocrine Therapy for Glioblastoma Andrea Magali González-Mora et al, 2021, International Journal of Molecular Sciences CrossRef
Computational drug repositioning for the identification of new agents to sensitize drug-resistant breast tumors across treatments and receptor subtypes Katharine Yu et al, 2023, Frontiers in Oncology CrossRef
Deep graph embedding for prioritizing synergistic anticancer drug combinations Peiran Jiang et al, 2020, Computational and Structural Biotechnology Journal CrossRef
Resistance and Overcoming Resistance in Breast Cancer
Andrea Luque-Bolivar et al, 2020, Breast Cancer: Targets and Therapy CrossRef
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction Tian-Hao Li et al, 2023, Briefings in Bioinformatics CrossRef
Combination Treatment with EGFR Inhibitor and Doxorubicin Synergistically Inhibits Proliferation of MCF-7 Cells and MDA-MB-231 Triple-Negative Breast Cancer Cells In Vitro Beynon Abrahams et al, 2024, International Journal of Molecular Sciences CrossRef
Using response surface models to analyze drug combinations Nathaniel R. Twarog et al, 2021, Drug Discovery Today CrossRef
A Comprehensive Review on Deep Synergistic Drug Prediction Techniques for Cancer Vijay Kumar et al, 2022, Archives of Computational Methods in Engineering CrossRef
MMSyn: A New Multimodal Deep Learning Framework for Enhanced Prediction of Synergistic Drug Combinations Yu Pang et al, 2024, Journal of Chemical Information and Modeling CrossRef
A Factorization Machine Based Deep Neural Network for Synergism of Cancer Drug Combinations Prediction Xin Ma et al, 2021, 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) CrossRef
A review of machine learning approaches for drug synergy prediction in cancer Anna Torkamannia et al, 2022, Briefings in Bioinformatics CrossRef
Meta analysis of bioactive compounds, miRNA, siRNA and cell death regulators as sensitizers to doxorubicin induced chemoresistance Sruthi Sritharan et al, 2022, Apoptosis CrossRef
GPER1 influences cellular homeostasis and cytostatic drug resistance via influencing long chain ceramide synthesis in breast cancer cells Marthe-Susanna Wegner et al, 2019, The International Journal of Biochemistry & Cell Biology CrossRef
DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks Mengdie Xu et al, 2023, Journal of Cheminformatics CrossRef
Drug metabolites and their effects on the development of adverse reactions: Revisiting Lipinski’s Rule of Five Caroline Manto Chagas et al, 2018, International Journal of Pharmaceutics CrossRef
Artificial intelligence techniques for prediction of drug synergy in malignant diseases: Past, present, and future Pooja Rani et al, 2022, Computers in Biology and Medicine CrossRef