Structural Bioinformatics and CADD Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.
School of Biological Sciences, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India.
Gene. 2018 Jun 5;658:159-177. doi: 10.1016/j.gene.2018.03.026. Epub 2018 Mar 10.
Human papillomavirus (HPV) has been the primary causative agent of cervical cancer, the most threatening cancer affecting millions of women worldwide. HPV, a small non enveloped DNA virus of high and low risk types contain intrinsically disordered region and it also plays significant role in the development of cervical cancer. HPV E7 contains an ordered Zinc finger motif that binds to pRB and alters its function. It utilizes both disordered N-terminal and structured C-terminal regions for cellular transformation. In this study, we have focused extensively on the evolutionary relationships of E7 among various HPV types and generated a 3D homology model of full length HPV 16 E7, since the structure have not been solved till date. We also analysed the stable conformation and atomic flexibility of modelled E7 through molecular dynamics simulation at 100 ns. To understand the disordered based binding sites of E7 oncoprotein, Molecular recognition features (MoRFs) analysis was carried out on the E7 oncoprotein. The validated model was taken forward for the identification of potential lead compounds and the most prominent compounds were selected for the molecular dynamics simulation of the 100 ns for the stability analysis. Overall, this study highlights the holistic E7 regions including important disordered based binding sites analysed through the MoRFs. The potential inhibitor compound that targets the structured C-terminal region of E7 oncoprotein were subjected for the pharmacological properties analysis and further validated for the binding modes of the compounds with the target structure. This study helps in providing a better intuition to develop a potent anti-HPV agent.
人乳头瘤病毒(HPV)是宫颈癌的主要致病因子,宫颈癌是全球数百万妇女面临的最具威胁性的癌症之一。HPV 是一种小型非包膜 DNA 病毒,具有高低危型,包含固有无序区域,在宫颈癌的发展中也起着重要作用。HPV E7 包含一个有序的锌指基序,该基序与 pRB 结合并改变其功能。它利用无序的 N 端和结构的 C 端区域进行细胞转化。在这项研究中,我们广泛关注了各种 HPV 类型中 E7 的进化关系,并生成了全长 HPV 16 E7 的 3D 同源模型,因为该结构至今尚未解决。我们还通过 100ns 的分子动力学模拟分析了模型化 E7 的稳定构象和原子柔韧性。为了了解 E7 癌蛋白的基于无序的结合位点,对 E7 癌蛋白进行了分子识别特征(MoRFs)分析。验证后的模型被用于鉴定潜在的先导化合物,选择最突出的化合物进行 100ns 的分子动力学模拟,以进行稳定性分析。总的来说,这项研究强调了包括通过 MoRFs 分析的重要基于无序的结合位点在内的整体 E7 区域。针对 E7 癌蛋白的结构 C 端区域的潜在抑制剂化合物进行了药理学特性分析,并进一步验证了化合物与靶结构的结合模式。这项研究有助于提供更好的直觉,以开发有效的抗 HPV 药物。