Swati Kumari, Srivastava Rashi, Agrawal Kirti, Panda Siva Prasad, Parkash Anand, Kumar Dhruv, Chen Hailiang
Department of Biotechnology, School of Life Science, Mahatma Gandhi Central University, Motihari, Bihar, 845401, India.
Chemical and Biochemical Engineering, Indian Institute of Technology, Patna, India.
Recent Pat Anticancer Drug Discov. 2024 May 9. doi: 10.2174/0115748928289164240426110829.
Glioblastoma multiforme (GBM) is a highly heterogeneous brain tumor with limited treatment options and a poor prognosis. Cancer stem cells (CSCs) have emerged as a critical factor in GBM resistance and management, contributing to tumor growth, heterogeneity, and immunosuppression. The transcription factor FOXM1 has been identified as a key player in the progression, spread, and therapy resistance of various cancers, including GBM.
In this research, the objective was to perform structure-based in silico screening with the aim of identifying natural compounds proficient in targeting the DNA-binding domain (DBD) of the FOXM1 protein.
In this study, in silico tools were employed for screening a hundred naturally occurring compounds capable of targeting the FOXM1 protein. Through molecular docking analysis and pharmacokinetic profiling, five compounds were found to be promising candidates for extensive interaction with the FOXM1 protein. Further, these compounds were validated for the stability of the FOXM1-natural compound complex using molecular dynamics (MD) simulations.
Four compounds, such as Withaferin A, Bryophyllin A, Silybin B, Sanguinarine and Troglitazone (control compound), emerged as promising candidates with substantial interactions with FOXM1, suggesting their potential as a protein inhibitor based on molecular docking investigations. After MD simulation analysis, the FOXM1- Bryophyllin A complex was found to maintain the highest stability, and the other three ligands had moderate but comparable binding affinities over a period of 100 ns.
This study provides valuable insights into four promising FOXM1 inhibitors that have the ability to induce senescence in GBM stem cells. These findings contribute to the development of structure-based designing strategies for FOXM1 inhibitors and innovative therapeutic approaches for the treatment of Glioblastoma.
多形性胶质母细胞瘤(GBM)是一种高度异质性的脑肿瘤,治疗选择有限且预后较差。癌症干细胞(CSCs)已成为GBM耐药性和治疗中的关键因素,促进肿瘤生长、异质性和免疫抑制。转录因子FOXM1已被确定为包括GBM在内的各种癌症进展、扩散和治疗耐药性的关键因素。
本研究旨在进行基于结构的计算机模拟筛选,以鉴定能够靶向FOXM1蛋白DNA结合结构域(DBD)的天然化合物。
在本研究中,使用计算机模拟工具筛选了一百种能够靶向FOXM1蛋白的天然化合物。通过分子对接分析和药代动力学分析,发现五种化合物有望与FOXM1蛋白广泛相互作用。此外,使用分子动力学(MD)模拟验证了这些化合物与FOXM1-天然化合物复合物的稳定性。
四种化合物,如华蟾酥毒基、玉叶金花素A、水飞蓟宾B、血根碱和曲格列酮(对照化合物),成为与FOXM1有大量相互作用的有前景的候选物,基于分子对接研究表明它们作为蛋白抑制剂的潜力。MD模拟分析后,发现FOXM1-玉叶金花素A复合物保持最高稳定性,并在100纳秒的时间内,其他三种配体具有中等但相当的结合亲和力。
本研究为四种有前景的FOXM1抑制剂提供了有价值的见解,这些抑制剂能够诱导GBM干细胞衰老。这些发现有助于开发基于结构的FOXM1抑制剂设计策略和治疗胶质母细胞瘤的创新治疗方法。