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具有抗乳腺癌活性的新型STAT3抑制剂的发现:基于结构的虚拟筛选、分子动力学和生物学评价

Discovery of novel STAT3 inhibitors with anti-breast cancer activity: structure-based virtual screening, molecular dynamics and biological evaluation.

作者信息

Wang Jinhui, Zhang Peijie, Yu Yalin, Yi Yan, Jiang Yongjun, Hu Shiwei

机构信息

Donghai Laboratory Zhoushan Zhejiang 316021 China.

National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University Zhoushan Zhejiang 316022 China

出版信息

RSC Med Chem. 2025 Apr 7. doi: 10.1039/d5md00053j.

Abstract

Triple negative breast cancer (TNBC) is a fatal type of breast cancer due to its high recurrence and metastatic potential. Persistent activation of signal transducer and activator of transcription 3 (STAT3) is crucial for TNBC progression, making it an attractive drug target. In this study, two new STAT3 inhibitors with significant anti-TNBC activity, d2 and d10, were identified from 1.67 million candidates through a rapid and cost-effective strategy integrating high-throughput virtual screening (HTVS), molecular mechanics/generalized born surface area (MM/GBSA), and binding pose metadynamics (BPMD) methods. In-depth mechanistic studies revealed that d2 and d10 significantly inhibited cell proliferation and colony formation, induced G1 phase arrest, and reduced migration and invasion of TNBC cells. Moreover, both d2 and d10 were found to inhibit the nuclear translocation and phosphorylation of STAT3. Molecular dynamics simulations further indicated that both compounds can stably bind to STAT3 in the SH2 domain. Additionally, protein-ligand interaction fingerprints (IFPs) of the screened compounds from HTVS were generated to better guide the design and structural optimization of STAT3 inhibitors.

摘要

三阴性乳腺癌(TNBC)是一种致命的乳腺癌类型,因其具有高复发和转移潜力。信号转导和转录激活因子3(STAT3)的持续激活对TNBC进展至关重要,使其成为一个有吸引力的药物靶点。在本研究中,通过整合高通量虚拟筛选(HTVS)、分子力学/广义玻恩表面面积(MM/GBSA)和结合姿态元动力学(BPMD)方法的快速且经济高效的策略,从167万个候选物中鉴定出两种具有显著抗TNBC活性的新型STAT3抑制剂d2和d10。深入的机制研究表明,d2和d10显著抑制细胞增殖和集落形成,诱导G1期阻滞,并减少TNBC细胞的迁移和侵袭。此外,发现d2和d10均抑制STAT3的核转位和磷酸化。分子动力学模拟进一步表明,这两种化合物均可在SH2结构域中与STAT3稳定结合。此外,还生成了来自HTVS的筛选化合物的蛋白质-配体相互作用指纹(IFP),以更好地指导STAT3抑制剂的设计和结构优化。

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