Alghamdi Yossef Saeed, Mashraqi Mutaib M, Alsalmi Ohud, Alharthi Afaf Awwadh, Gharib Amal F
Department of Biology, Turabah College, Taif University, Taif-21944, Kingdom of Saudi Arabia.
Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran-61441, Kingdom of Saudi Arabia.
Curr Med Chem. 2024 Jun 13. doi: 10.2174/0109298673289824240529063416.
Cervical cancer originates in the cervix, the lower part of the uterus, and results from the uncontrolled growth of abnormal cervical cells, forming malignant tumours. It poses a major global health challenge, calling for innovative drug design strategies to enhance treatment outcomes.
In this study, we have screened the FDA-approved drug library against four proteins, MCM10, MCM6, DNA polymerase epsilon subunit-2, and TBK1, which are essential for DNA replication, DNA repair, and cellular signalling pathways, which are dysregulated in cervical cancer cells, leading to uncontrolled growth. We have used the multisampling algorithms for screening using HTVS, SP, and XP docking; identified 6- oxidopamine HBr (C8H12BrNO3), which is used to create a model of Parkinson's disease in animals, and obtained the docking score ranging from -5.057 to -8.871 Kcal/mol. The poses were filtered with MM\GBSA score ranging from -21.67 to -27.63 Kcal/mol. We performed QM-based DFT and pharmacokinetics studies and compared them with the standard values, suggesting that the compound can be used in cervical cancer proteins.
The P-L complex's interaction fingerprints have resulted in the most interacting residues, 4THR, 4SER, and 4LYS, showing the compound's interaction pattern.
Further, the stability of 6-oxidopamine HBr in complex with each protein was evaluated with 100ns MD simulation in the SPC water model in a neutralised state to analyse the deviation, fluctuations, and intermolecular interactions that have proven the compound to have a better inhibitory effect against each protein and that it can be used for cervical cancer; however, experimental validation is suggested before human use.
宫颈癌起源于子宫下部的宫颈,由异常宫颈细胞的失控生长形成恶性肿瘤所致。它是一项重大的全球健康挑战,需要创新的药物设计策略来提高治疗效果。
在本研究中,我们针对四种蛋白质(MCM10、MCM6、DNA聚合酶ε亚基2和TBK1)筛选了FDA批准的药物库,这些蛋白质对DNA复制、DNA修复和细胞信号通路至关重要,而这些通路在宫颈癌细胞中失调,导致细胞失控生长。我们使用多采样算法通过HTVS、SP和XP对接进行筛选;鉴定出用于在动物中创建帕金森病模型的6-氧化多巴胺氢溴酸盐(C8H12BrNO3),并获得了-5.057至-8.871千卡/摩尔的对接分数。通过-21.67至-27.63千卡/摩尔的MM\GBSA分数对构象进行筛选。我们进行了基于量子力学的密度泛函理论和药代动力学研究,并将其与标准值进行比较,表明该化合物可用于宫颈癌相关蛋白质。
P-L复合物的相互作用指纹图谱产生了相互作用最多的残基,即4THR、4SER和4LYS,显示了该化合物的相互作用模式。
此外,在中和状态的SPC水模型中通过100纳秒的分子动力学模拟评估了6-氧化多巴胺氢溴酸盐与每种蛋白质形成复合物时的稳定性,以分析偏差、波动和分子间相互作用,结果证明该化合物对每种蛋白质具有更好的抑制作用,可用于宫颈癌治疗;然而,建议在人体使用前进行实验验证。