| Citation: | Lizhuo Wang, Peng Yang, Sirui Wu, Fanding Xu, Wu Su, Le Shi, Hui Guo, Li Cui, Jiankang Liu, Zhiwei Yang, Jiangang Long. Discovery of Mitochondrial Modulators Using Target-Aggregated Machine Learning[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2026.101579 |
| [1] |
H.B. Suliman, C.A. Piantadosi, Mitochondrial quality control as a therapeutic target, Pharmacol. Rev. 68 (2016) 20-48.
|
| [2] |
C. Xie, X. Zhuang, Z. Niu, et al., Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow, Nat. Biomed. Eng. 6 (2022) 76-93.
|
| [3] |
Q. Guo, S. Hernandez-Hernandez, P.J. Ballester, UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines, J. Cheminform. 17 (2025), 94.
|
| [4] |
J.M. Stokes, K. Yang, K. Swanson, et al., A deep learning approach to antibiotic discovery, Cell 180 (2020) 688-702.e13.
|
| [5] |
E. Makinde, L. Ma, G.D. Mellick, et al., Mitochondrial modulators: The defender, Biomolecules 13 (2023), 226.
|