Department of Chemistry, The American University in Cairo, Cairo, Egypt.
J Comput Aided Mol Des. 2013 Apr;27(4):337-46. doi: 10.1007/s10822-013-9649-3. Epub 2013 Apr 24.
Hepatitis C is a global health problem. While many drug companies have active R&D efforts to develop new drugs for treating Hepatitis C virus (HCV), most target the viral enzymes. The HCV glycoprotein E2 has been shown to play an essential role in hepatocyte invasion by binding to CD81 and other cell surface receptors. This paper describes the use of AutoDock to identify ligand binding sites on the large extracellular loop of the open conformation of CD81 and to perform virtual screening runs to identify sets of small molecule ligands predicted to bind to two of these sites. The best sites selected by AutoLigand were located in regions identified by mutational studies to be the site of E2 binding. Thirty-six ligands predicted by AutoDock to bind to these sites were subsequently tested experimentally to determine if they bound to CD81-LEL. Binding assays conducted using surface Plasmon resonance revealed that 26 out of 36 (72 %) of the ligands bound in vitro to the recombinant CD81-LEL protein. Competition experiments performed using dual polarization interferometry showed that one of the ligands predicted to bind to the large cleft between the C and D helices was also effective in blocking E2 binding to CD81-LEL.
丙型肝炎是一个全球性的健康问题。虽然许多制药公司都在积极开展研发工作,以开发治疗丙型肝炎病毒 (HCV) 的新药,但大多数药物的靶点都是病毒酶。已经证明 HCV 糖蛋白 E2 通过与 CD81 和其他细胞表面受体结合,在肝细胞入侵中发挥重要作用。本文描述了使用 AutoDock 识别开放构象的 CD81 大细胞外环上的配体结合位点,并进行虚拟筛选运行,以识别预测与其中两个位点结合的小分子配体集。由 AutoLigand 选择的最佳位点位于通过突变研究确定为 E2 结合位点的区域。随后,使用表面等离子体共振实验测试了预测与这些位点结合的 36 种配体,以确定它们是否与 CD81-LEL 结合。使用双偏振干涉测量法进行的竞争实验表明,预测与 C 和 D 螺旋之间的大裂隙结合的配体之一也能有效阻止 E2 与 CD81-LEL 的结合。