生物活性类黄酮靶向Nudix水解酶5:乳腺癌治疗的分子动力学及对接研究

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sivaraman Dhanasekaran, Pradeep Pushparaj Selvadoss, Solomon Sundar Manoharan, Srikanth Jeyabalan, V Muthu Laxmi, Abbas Alam Choudhury, Vijayarangan Devi Rajeswari, Gnanasambandan Ramanathan, Tamilanban Thamaraikani, Vetriselvan Subramaniyan, Mahendran Sekar, Wong Ling Shing
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引用次数: 0

摘要

乳腺癌(BC)是全球女性中最常见的恶性肿瘤,也是癌症相关死亡的主要原因。因此,迫切需要新的、有效的乳腺癌治疗策略。研究表明,裸酶水解酶5 (NUDT5)在促进乳腺癌侵袭性中起着关键作用,并作为致癌途径的关键调节因子。NUDT5抑制剂的开发为提高BC治疗效果提供了一种可行的策略。黄酮类化合物调节关键生化途径和改善治疗结果的能力突出了它们在开发新型乳腺癌治疗方法方面的前景。因此,本研究的主要目的是确定结构多样的生物活性类黄酮与靶NUDT5活性位点的潜在相互作用。对接分析显示,柚皮苷和染料木素等类黄酮与NUDT5的Arg51、Asp60、Gln82、Arg84、Ala96、Leu98、Glu112、Glu116、Met132、Cys139、Ile141和Glu166等残基存在显著结合,提示其可能是一种有效的抑制剂。通过分子动力学研究,包括RMSD、RMRF、Rg、SASA、PCA和FEL,进一步验证了这些引线(柚皮苷和染料木素)的稳定作用。MD模拟研究的结果表明染料木素与NUDT5之间的相互作用更为显著,表明其具有稳定而强大的亲和力,使染料木素成为更有前景的抑制剂。综上所述,黄酮类染料木素作为靶向NUDT5治疗乳腺癌的药物具有很强的潜力,值得进一步的临床前和临床研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeting Nudix Hydrolase 5 with Bioactive Flavonoids: Molecular Dynamics and Docking Studies for Breast Cancer Therapy.

Breast cancer (BC) is the most prevalent malignancy among women globally and the leading cause of cancer-related mortality. Consequently, there is an urgent need for new, effective treatment strategies for breast cancer. Research has shown that the enzyme nudix hydrolase 5 (NUDT5) plays a critical role in promoting breast cancer aggressiveness and serves as a key regulator of oncogenic pathways. The development of NUDT5 inhibitors presents a viable strategy for enhancing treatment results in managing BC. The ability of the flavonoids to modulate key biochemical pathways and improve therapeutic outcomes highlights their promise in developing novel breast cancer treatments. Hence, the main objective of the present investigation is to identify the potential interaction of structurally diverse bioactive flavonoids with the active site of the target NUDT5. Our docking analysis revealed that the flavonoids such as naringin and genistein have shown a significant binding association with residues Arg51, Asp60, Gln82, Arg84, Ala96, Leu98, Glu112, Glu116, Met132, Cys139, Ile141, and Glu166 of NUDT5, suggesting its potential as a potent inhibitor. The stabilizing effects of these leads (naringin and genistein) were further validated using molecular dynamics investigations, including RMSD, RMRF, Rg, SASA, PCA, and FEL. The results of the MD simulation studies evidenced a more significant interaction between genistein and NUDT5, indicating a steady and robust affinity, making genistein a more promising inhibitor. In conclusion, the flavonoid genistein has a strong potential as a therapeutic agent for targeting NUDT5 in breast cancer treatment making it viable candidates for further preclinical and clinical investigations.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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