Design, Synthesis, and Computational Insights into PKMYT1 Inhibitors for the Treatment of Breast Cancer
<b>Background</b>: Membrane-associated tyrosine-threonine protein kinase 1 (PKMYT1), which is identified as a synthetic lethal partner of <i>CCNE1</i>, emerged as a promising therapeutic target in oncology. <b>Methods</b>: A series of novel PKMYT1 inhibitors were designed by employing a pharmacophore fusion strategy. The underlying mechanisms were investigated by means of pharmacological experiments and molecular simulations. <b>Results</b>: Compound MY-14 demonstrated optimal kinase inhibition (IC<sub>50</sub> = 0.002 μM) and significant anti-proliferative efficacy against <i>CCNE1</i>-amplified cells (IC<sub>50-HCC1569</sub> = 1.06 μM and IC<sub>50-OVCAR3</sub> = 0.80 μM). Furthermore, MY-14 induced concentration-dependent apoptosis, inhibited colony formation, and effectively arrested cell-cycle progression at the S-phase through synthetic lethality. Molecular dynamics simulations, Hirshfeld surface analysis, dynamic cross-correlation matrix (DCCM), and MM/GBSA calculations elucidated the molecular mechanism underlying MY-14's interaction with PKMYT1. <b>Conclusions</b>: MY-14 emerged as a promising compound for the development of a novel PKMYT1 inhibitor.
Authors
- Chinyu Su (ORCID: https://orcid.org/0000-0001-7703-4901)
- Dongmei Zhao (ORCID: https://orcid.org/0000-0001-5156-6125)
- Zixuan Gao (ORCID: https://orcid.org/0009-0000-7609-3731)
- Yin Sun (ORCID: https://orcid.org/0009-0000-8793-3169)
- Yixiang Sun (ORCID: https://orcid.org/0000-0002-4520-8900)
- Maosheng Cheng (ORCID: https://orcid.org/0000-0001-9073-4806)
- Nian Liu (ORCID: https://orcid.org/0000-0003-3395-2422)
- Haoyu Zhang (ORCID: https://orcid.org/0009-0000-5065-2937)
- Shifang Yuan (ORCID: https://orcid.org/0000-0003-3710-6362)
- Jinyu Yu (ORCID: https://orcid.org/0009-0003-7584-0354)
Institutions
- Shenyang Pharmaceutical University (CN)
Publication Details
- Journal
- Biomedicines
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3390/biomedicines13092116
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00