1. A potent new-scaffold androgen receptor antagonist discovered on the basis of a MIEC-SVM model.
- Author
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Wang XY, Chai X, Shan LH, Xu XH, Xu L, Hou TJ, Sun HY, and Li D
- Subjects
- Humans, Male, Cell Line, Tumor, Antineoplastic Agents pharmacology, Antineoplastic Agents chemistry, Machine Learning, Structure-Activity Relationship, Cell Cycle drug effects, Androgen Receptor Antagonists pharmacology, Androgen Receptor Antagonists chemistry, Receptors, Androgen metabolism, Cell Proliferation drug effects, Prostatic Neoplasms drug therapy, Prostatic Neoplasms pathology
- Abstract
Prostate cancer (PCa) is the second most prevalent malignancy among men worldwide. The aberrant activation of androgen receptor (AR) signaling has been recognized as a crucial oncogenic driver for PCa and AR antagonists are widely used in PCa therapy. To develop novel AR antagonist, a machine-learning MIEC-SVM model was established for the virtual screening and 51 candidates were selected and submitted for bioactivity evaluation. To our surprise, a new-scaffold AR antagonist C2 with comparable bioactivity with Enz was identified at the initial round of screening. C2 showed pronounced inhibition on the transcriptional function (IC
50 = 0.63 μM) and nuclear translocation of AR and significant antiproliferative and antimetastatic activity on PCa cell line of LNCaP. In addition, C2 exhibited a stronger ability to block the cell cycle of LNCaP than Enz at lower dose and superior AR specificity. Our study highlights the success of MIEC-SVM in discovering AR antagonists, and compound C2 presents a promising new scaffold for the development of AR-targeted therapeutics., (© 2024. The Author(s), under exclusive licence to Shanghai Institute of Materia Medica, Chinese Academy of Sciences and Chinese Pharmacological Society.)- Published
- 2024
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