Combining Data-Driven and Structure-Based Approaches in Designing Dual PARP1-BRD4 Inhibitors for Breast Cancer Treatment

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-09-18 DOI:10.1021/acs.jcim.4c01421
Bo Feng, Hui Yu, Xu Dong, Alejandro Díaz-Holguín, Albert A. Antolin, Huabin Hu
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Abstract

Poly(ADP-ribose) polymerase 1 (PARP1) inhibitors have revolutionized the treatment of many cancers with DNA-repairing deficiencies via synthetic lethality. Advocated by the polypharmacology concept, recent evidence discovered that a significantly synergistic effect in increasing the death of cancer cells was observed by simultaneously perturbating the enzymatic activities of bromodomain-containing protein 4 (BRD4) and PARP1. Here, we developed a novel cheminformatics approach combined with a structure-based method aiming to facilitate the design of dual PARP1-BRD4 inhibitors. Instead of linking pharmacophores, the developed approach first identified merged pharmacophores (a pool of amide-containing ring systems), from which phenanthridin-6(5H)-one was further prioritized. Based on this starting point, several small molecules were rationally designed, among which HF4 exhibited low micromolar inhibitory activity against BRD4 and PARP1, particularly exhibiting strong inhibition of BRD4 BD1 with an IC50 value of 204 nM. Furthermore, it demonstrated potent antiproliferative effects against breast cancer gene-deficient and proficient breast cancer cell lines by arresting cell cycle progression and impeding DNA damage repair. Collectively, our systematic efforts to design lead-like molecules have the potential to open doors for the exploration of dual PARP1-BRD4 inhibitors as a promising avenue for breast cancer treatment. Furthermore, the developed approach can be extended to systematically design inhibitors targeting PARP1 and other related targets.

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结合数据驱动和基于结构的方法设计用于乳腺癌治疗的 PARP1-BRD4 双重抑制剂
聚(ADP-核糖)聚合酶 1(PARP1)抑制剂通过合成致命性彻底改变了许多存在 DNA 修复缺陷的癌症的治疗方法。在多药理学概念的倡导下,最近的证据发现,通过同时干扰含溴结构域蛋白 4(BRD4)和 PARP1 的酶活性,可以在增加癌细胞死亡方面观察到显著的协同效应。在此,我们开发了一种新颖的化学信息学方法,结合基于结构的方法,旨在促进 PARP1-BRD4 双重抑制剂的设计。所开发的方法首先确定了合并的药源(含酰胺环系统池),而不是连接药源,并从中进一步确定了菲啶-6(5H)-酮的优先级。在此基础上,合理设计出了几个小分子,其中 HF4 对 BRD4 和 PARP1 具有低微摩尔抑制活性,尤其是对 BRD4 BD1 具有很强的抑制作用,IC50 值为 204 nM。此外,它还通过阻滞细胞周期进程和阻碍 DNA 损伤修复,对乳腺癌基因缺失和基因熟练的乳腺癌细胞系具有强效的抗增殖作用。总之,我们设计类先导分子的系统性努力有可能为探索 PARP1-BRD4 双重抑制剂打开一扇大门,使其成为治疗乳腺癌的一条有前途的途径。此外,所开发的方法还可以扩展到系统设计针对 PARP1 和其他相关靶点的抑制剂。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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