Vani Vemula, Venkateshappa Snehalatha, Nishitha Rachel, Shashidhar Hima, Hegde Arpitha B, Alagumuthu Manikandan
Department of Microbiology, MS Ramaiah College of Arts, Science and Commerce, Bangalore, 560054, India.
Curr Comput Aided Drug Des. 2024;20(3):303-311. doi: 10.2174/1573409919666230310144550.
Drug re-purposing is one of the cost-effective methods to establish novel therapeutics against many diseases. Established natural products are collected from databases and used to potentially screen them against HPV E6 protein, a critical viral protein.
This study aims to design potential small molecule inhibitors against HPV E6 protein using structure-based approaches. Ten natural anti-cancerous compounds (Apigenin, Baicalein, Baicalin, Ponicidin, Oridonin, Lovastatin, Triterpenoid, Narirutin, Rosmarinic Acid, and Xanthone) were selected by review of the literature.
These compounds were screened using Lipinski Rule of Five. Out of ten compounds, seven were found to satisfy Rule of five. Docking of these seven compounds was carried out using AutoDock software and corresponding Molecular Dynamics Simulations were performed by GROMACS.
Among the seven compounds docked with the E6 target protein, six compounds showed lesser binding energy than the reference compound, Luteolin. The three-dimensional structures of E6 protein and the corresponding ligand complexes were visualised and analysed using PyMOL whereas the two-dimensional images of protein-ligand interactions were obtained by LigPlot+ software to study the specific interactions. ADME analysis using SwissADME software revealed that all the compounds except Rosmarinic acid have good gastrointestinal absorption and solubility characteristics while Xanthone and Lovastatin showed blood brain barrier penetration properties. Considering the binding energy and ADME analysis, Apigenin and Ponicidin are found to be most suitable for de novo designing of potential inhibitors against the HPV16 E6 protein.
Further, synthesis and characterization of these potential HPV16 E6 inhibitors will be carried out and their functional evaluation using cell culture-based assays will be undertaken.
药物重新利用是开发针对多种疾病的新型疗法的经济有效方法之一。从数据库中收集已有的天然产物,并用于针对人乳头瘤病毒E6蛋白(一种关键的病毒蛋白)进行潜在筛选。
本研究旨在使用基于结构的方法设计针对人乳头瘤病毒E6蛋白的潜在小分子抑制剂。通过文献综述选择了十种天然抗癌化合物(芹菜素、黄芩素、黄芩苷、ponicidin、冬凌草甲素、洛伐他汀、三萜类化合物、柚皮苷、迷迭香酸和呫吨酮)。
使用Lipinski五规则对这些化合物进行筛选。在十种化合物中,发现有七种符合五规则。使用AutoDock软件对这七种化合物进行对接,并通过GROMACS进行相应的分子动力学模拟。
在与E6靶蛋白对接的七种化合物中,六种化合物的结合能低于参考化合物木犀草素。使用PyMOL可视化并分析E6蛋白及其相应配体复合物的三维结构,而通过LigPlot+软件获得蛋白质-配体相互作用的二维图像,以研究具体相互作用。使用SwissADME软件进行的ADME分析表明,除迷迭香酸外,所有化合物均具有良好的胃肠道吸收和溶解性特征,而呫吨酮和洛伐他汀表现出血脑屏障穿透特性。考虑到结合能和ADME分析,发现芹菜素和ponicidin最适合从头设计针对人乳头瘤病毒16型E6蛋白的潜在抑制剂。
此外,将对这些潜在的人乳头瘤病毒16型E6抑制剂进行合成和表征,并使用基于细胞培养的试验对其进行功能评估。