尼罗替尼破坏 MYC-MAX 异质复合物。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2024-07-29 eCollection Date: 2024-01-01 DOI:10.1177/11779322241267056
Kamilla Shah, Maham Ansari, Samina Saeed, Abdul Wali, Muhammad Mushtaq Yasinzai
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引用次数: 0

摘要

MYC 是一种对维持细胞平衡至关重要的转录因子,其失调与侵袭性极强的癌症有关。尽管 MYC 因其不稳定的蛋白结构而被认为是 "不可药用 "的,但它通过与其伙伴蛋白 MAX 相互作用而获得稳定性。MYC-MAX 异源二聚体协调着众多基因的表达,这些基因的表达有助于形成致癌表型。以前开发破坏 MYC-MAX 相互作用的小分子药物的努力在体外实验中显示了前景,但没有一种药物获得临床批准。我们目前的计算机辅助研究采用了一种方法,探索将药物再利用作为抑制 c-MYC-MAX 相互作用的策略。我们重点研究了 DrugBank 库中的化合物,包括食品药品管理局批准的药物或正在研究的用于其他病症的药物。首先,我们在 c-MYC 蛋白的平面界面上发现了一个潜在的可药用位点,并将其作为虚拟筛选的目标。通过基于活性和基于结构的筛选,我们全面评估了整个 DrugBank 库。基于结构的虚拟筛选是在 AutoDock Vina 和 Glide 对接工具上进行的,而基于活性的筛选是在两个独立的定量结构-活性关系模型上进行的。我们重点筛选了所有筛选方法中命中率最高的 2% 分子。最终,我们从这些筛选中选出了共识分子--那些既能与 c-MYC 发生稳定的相互作用,又能对 c-MYC-MAX 相互作用表现出卓越抑制活性的分子。在评估的分子中,我们发现了一种名为尼罗替尼的蛋白激酶抑制剂(酪氨酸激酶抑制剂[TKI]),它是一种有希望靶向c-MYC-MAX二聚体的候选药物。分子动力学模拟显示,MYC与尼罗替尼之间存在稳定的相互作用。与尼罗替尼的相互作用导致 MYC 蛋白的一个区域趋于稳定,该区域在 apo-MYC 中变形,对 MAX 的结合非常重要。对差异表达基因的进一步分析表明,尼罗替尼是测试的 TKIs 中唯一能诱导基因表达程序的药物,其中一半的基因已知对 c-MYC 有反应。我们的研究结果为后续的体外和体内研究奠定了基础,这些研究旨在评估尼洛替尼在管理MYC致癌活性方面的疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nilotinib: Disrupting the MYC-MAX Heterocomplex.

MYC is a transcription factor crucial for maintaining cellular homeostasis, and its dysregulation is associated with highly aggressive cancers. Despite being considered "undruggable" due to its unstable protein structure, MYC gains stability through its interaction with its partner protein, MAX. The MYC-MAX heterodimer orchestrates the expression of numerous genes that contribute to an oncogenic phenotype. Previous efforts to develop small molecules, disrupting the MYC-MAX interaction, have shown promise in vitro but none have gained clinical approval. Our current computer-aided study utilizes an approach to explore drug repurposing as a strategy for inhibiting the c-MYC-MAX interaction. We have focused on compounds from DrugBank library, including Food and Drug Administration-approved drugs or those under investigation for other medical conditions. First, we identified a potential druggable site on flat interface of the c-MYC protein, which served as the target for virtual screening. Using both activity-based and structure-based screening, we comprehensively assessed the entire DrugBank library. Structure-based virtual screening was performed on AutoDock Vina and Glide docking tools, while activity-based screening was performed on two independent quantitative structure-activity relationship models. We focused on the top 2% of hit molecules from all screening methods. Ultimately, we selected consensus molecules from these screenings-those that exhibited both a stable interaction with c-MYC and superior inhibitory activity against c-MYC-MAX interaction. Among the evaluated molecules, we identified a protein kinase inhibitor (tyrosine kinase inhibitor [TKI]) known as nilotinib as a promising candidate targeting c-MYC-MAX dimer. Molecular dynamic simulations demonstrated a stable interaction between MYC and nilotinib. The interaction with nilotinib led to the stabilization of a region of the MYC protein that is distorted in apo-MYC and is important for MAX binding. Further analysis of differentially expressed gene revealed that nilotinib, uniquely among the tested TKIs, induced a gene expression program in which half of the genes were known to be responsive to c-MYC. Our findings provide the foundation for subsequent in vitro and in vivo investigations aimed at evaluating the efficacy of nilotinib in managing MYC oncogenic activity.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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