a Department of Chemistry , University College of Science, Osmania University , Tarnaka, Hyderabad 500007 , Telangana , India.
b Department of Chemistry , University College of Science, Osmania University , Saifabad, Hyderabad 500004 , Telangana , India.
J Biomol Struct Dyn. 2017 Nov;35(14):3119-3139. doi: 10.1080/07391102.2016.1244492. Epub 2016 Nov 4.
Cancer is a class of diseases characterized by uncontrolled cell growth. Every year more than 2 million people are affected by the disease. Rho family proteins are actively involved in cytoskeleton regulation. Over-expression of Rho family proteins show oncogenic activity and promote cancer progression. In the present work RhoG protein is considered as novel target of cancer. It is a member of Rho family and Rac subfamily protein, which plays pivotal role in regulation of microtubule formation, cell migration and contributes in cancer progression. In order to understand the binding interaction between RhoG protein and the DH domain of Ephexin-4 protein, the 3D structure of RhoG was evaluated and Molecular Dynamic Simulations was performed to stabilize the structure. The 3D structure of RhoG protein was validated and active site identified using standard computational protocols. Protein-protein docking of RhoG with Ephexin-4 was done to understand binding interactions and the active site structure. Virtual screening was carried out with ligand databases against the active site of RhoG protein. The efficiency of virtual screening is analysed with enrichment factor and area under curve values. The binding free energy of docked complexes was calculated using prime MM-GBSA module. The SASA, FOSA, FISA, PISA and PSA values of ligands were carried out. New ligands with high docking score, glide energy and acceptable ADME properties were prioritized as potential inhibitors of RhoG protein.
癌症是一类以细胞生长失控为特征的疾病。每年有超过 200 万人受到这种疾病的影响。Rho 家族蛋白积极参与细胞骨架调节。Rho 家族蛋白的过度表达表现出致癌活性,并促进癌症进展。在本工作中,RhoG 蛋白被认为是癌症的新靶点。它是 Rho 家族和 Rac 亚家族蛋白的成员,在微管形成的调节、细胞迁移中发挥关键作用,并促进癌症进展。为了了解 RhoG 蛋白与 Ephexin-4 蛋白的 DH 结构域之间的结合相互作用,评估了 RhoG 的 3D 结构,并进行了分子动力学模拟以稳定结构。使用标准计算方案验证了 RhoG 蛋白的 3D 结构并确定了活性位点。进行 RhoG 与 Ephexin-4 的蛋白-蛋白对接,以了解结合相互作用和活性位点结构。针对 RhoG 蛋白的活性位点对配体数据库进行虚拟筛选。通过富集因子和曲线下面积值分析虚拟筛选的效率。使用 prime MM-GBSA 模块计算对接复合物的结合自由能。进行配体的 SASA、FOSA、FISA、PISA 和 PSA 值分析。根据高对接评分、可接受的 ADME 性质和高结合自由能,对具有高评分、高结合自由能和可接受的 ADME 性质的新配体进行优先排序,作为 RhoG 蛋白的潜在抑制剂。