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Updated: Dec 27, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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A new class of 1,3,5-triazine-based selective estrogen receptor degraders (SERDs): Lead optimization, molecular
Xiang Lu1, Ali Huang1, Maoxu Xiao1
1State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.
Abstract:
Selective estrogen receptor degrader (SERD) that acts as not only ER antagonist, but also ER degrader, would be useful for the treatment for drug-resistance ER+ breast cancer. However, most of currently available SERD candidates involve very limited molecular scaffolds and are still in clinical trials. In this study, we introduced a 1,3,5-triazine ring into a homobibenzyl motif extracted from amounts of ER ligands and synthesized sixteen SERDs bearing acrylic acid or acrylic amide side chains that possess both ERα antagonism and degradation properties. And all compounds were screened for their anti-proliferative activity against ER+ MCF-7 and Ishikawa cell lines. Among them, compound XHA1614 displayed potent growth inhibition activity against MCF-7 and Ishikawa cells with IC50 values of 3.15 μM and 3.11 μM, respectively. Moreover, XHA1614 could dramatically degrade ER level at 1 nM in a Western blotting assay and afforded an outstanding antagonistic activity via suppressing the expression of progesterone receptor messenger RNA in MCF-7 cells in a RT-PCR assay. Further molecular docking and dynamic simulation on properly selected derivative furnished insights into its binding profile within ERα. Our findings suggest that the 1,3,5-triazine core was a feasible alternative to currently reported SERD scaffold, and provide information that will be useful for further development of promising SERDs candidates for breast cancer therapies.
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