Shah Kamilla, Ansari Maham, Saeed Samina, Wali Abdul, Mushtaq Yasinzai Muhammad
Department of Biotechnology, Faculty of Life Sciences & Informatics, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Bioinform Biol Insights. 2024 Jul 29;18:11779322241267056. doi: 10.1177/11779322241267056. eCollection 2024.
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.
MYC是一种对维持细胞稳态至关重要的转录因子,其失调与高度侵袭性癌症相关。尽管由于其不稳定的蛋白质结构而被认为“不可成药”,但MYC通过与伴侣蛋白MAX相互作用获得稳定性。MYC-MAX异二聚体协调众多促成致癌表型的基因的表达。此前开发破坏MYC-MAX相互作用的小分子的努力在体外已显示出前景,但尚无药物获得临床批准。我们当前的计算机辅助研究采用一种方法来探索药物再利用,作为抑制c-MYC-MAX相互作用的策略。我们专注于DrugBank库中的化合物,包括美国食品药品监督管理局批准的药物或正在针对其他医疗状况进行研究的药物。首先,我们在c-MYC蛋白的平坦界面上确定了一个潜在的可成药位点,作为虚拟筛选的靶点。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在AutoDock Vina和Glide对接工具上进行,而基于活性的筛选在两个独立的定量构效关系模型上进行。我们关注所有筛选方法中排名前2%的命中分子。最终,我们从这些筛选中选择了共识分子——那些与c-MYC表现出稳定相互作用且对c-MYC-MAX相互作用具有优异抑制活性的分子。在评估的分子中,我们确定一种名为尼洛替尼的蛋白激酶抑制剂(酪氨酸激酶抑制剂[TKI])是靶向c-MYC-MAX二聚体的有前景的候选药物。分子动力学模拟证明了MYC与尼洛替尼之间的稳定相互作用。与尼洛替尼的相互作用导致MYC蛋白一个区域的稳定,该区域在无配体MYC中发生扭曲且对MAX结合很重要。对差异表达基因的进一步分析表明,在测试的TKI中,尼洛替尼独特地诱导了一个基因表达程序,其中一半的基因已知对c-MYC有反应。我们的发现为后续旨在评估尼洛替尼在管理MYC致癌活性方面疗效的体外和体内研究奠定了基础。