Malathi Kullappan, Ramaiah Sudha, Anbarasu Anand
Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Cell Biochem Biophys. 2019 Jun;77(2):139-156. doi: 10.1007/s12013-019-00867-4. Epub 2019 Feb 22.
Presently, there are no effective vaccines and anti-virals for the prevention and treatment of Hepatitis C virus infections and hence there is an urgent need to develop potent HCV inhibitors. In this study, we have carried out molecular docking, molecular dynamics and 3D-QSAR on heteroaryl 3-(1,1-dioxo-2H-(1,2,4)-benzothiadizin-3-yl)-4-hydroxy-2(1H)-quinolinone series using NS5B protein. Total of 41 quinolinone derivatives is used for molecular modeling study. The binding conformation and hydrogen bond interaction of the docked complexes were analyzed to model the inhibitors. We identified the molecule XXXV that had a higher affinity with NS5B. The molecular dynamics study confirmed the stability of the compound XXXV-NS5B complex. The developed CoMFA descriptors parameters, which were calculated using a test set of 13 compounds, were statistically significant. Our results will provide useful insights and lead to design potent anti-Hepatitis C virus molecules.
目前,尚无有效的疫苗和抗病毒药物用于预防和治疗丙型肝炎病毒感染,因此迫切需要开发有效的丙型肝炎病毒抑制剂。在本研究中,我们使用NS5B蛋白对杂芳基3-(1,1-二氧代-2H-(1,2,4)-苯并噻二嗪-3-基)-4-羟基-2(1H)-喹啉酮系列进行了分子对接、分子动力学和3D-QSAR研究。总共41种喹啉酮衍生物用于分子建模研究。分析对接复合物的结合构象和氢键相互作用以对抑制剂进行建模。我们鉴定出与NS5B具有更高亲和力的分子XXXV。分子动力学研究证实了化合物XXXV-NS5B复合物的稳定性。使用13种化合物的测试集计算得到的所开发的CoMFA描述符参数具有统计学意义。我们的结果将提供有用的见解,并有助于设计有效的抗丙型肝炎病毒分子。