Targeting telomeric RNA quadruplexes with natural metabolites to prevent cancer.

In silico pharmacology Pub Date : 2024-11-26 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00283-4
Gourav Choudhir, Sushil Kumar, Anuj Kumar
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Abstract

Cancer is a major global health burden, causing significant economic losses and premature deaths worldwide. Maintenance of telomeric repeats by telomerase makes the cancer cells immortal. Non-nucleoside mushroom metabolites were screened for their ability to stabilize RG4 structures, making telomeres inaccessible to telomerase and inducing telomere shortening in cancer cells. Selected mushroom metabolites, namely, Sterenin M, Melleolide K, and Zhankuic Acid A were docked with RG4 using the AutoDock Vina and evaluated for non-covalent interactions. These compounds were found to have strong binding affinity and manifested a set of molecular interactions with RG4. To assess the stability of complexes, state-of-the-art molecular dynamics simulations were carried out using the GROMACS 2018.7 software suite with the AMBER99SB-ILDN force field on 250 nanoseconds. Molecular docking and MD simulations revealed the strong interaction patterns between RG4 and the selected metabolites at the atomic level followed by binding free energy calculations. The results suggest that all three metabolites have the potential to be developed into therapeutic agents for cancer treatment. Further in vitro and in vivo studies are needed to assess these compounds' toxicity, efficacy, and dosage.

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利用天然代谢物靶向端粒RNA四联体以预防癌症。
癌症是一项重大的全球健康负担,在全世界造成重大经济损失和过早死亡。端粒酶对端粒重复序列的维持使癌细胞不朽。筛选非核苷蘑菇代谢物,因为它们能够稳定RG4结构,使端粒无法进入端粒酶,并诱导癌细胞端粒缩短。选定的蘑菇代谢物Sterenin M、千层内酯K和Zhankuic Acid A使用AutoDock Vina与RG4对接,并评估其非共价相互作用。发现这些化合物具有较强的结合亲和力,并与RG4表现出一组分子相互作用。为了评估配合物的稳定性,使用GROMACS 2018.7软件套件和AMBER99SB-ILDN力场在250纳秒内进行了最先进的分子动力学模拟。分子对接和MD模拟揭示了RG4与选定代谢物在原子水平上的强相互作用模式,随后进行了结合自由能计算。结果表明,这三种代谢物都有潜力开发成治疗癌症的药物。需要进一步的体外和体内研究来评估这些化合物的毒性、功效和剂量。
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