Key Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China.
Curr Pharm Des. 2009;15(32):3796-825. doi: 10.2174/138161209789649484.
Cancer therapies through ionizing radiation or chemotherapeutic treatment may result in DNA double strand breaks (DSBs) in cell. DNA-PK has emerged as an attractive target for drug discovery efforts toward DSBs repair and in V(D)J recombination. Hence, the search for potent and selective DNA-PK inhibitors has received particular attention and several series of activity inhibitors have been reported. In this article, we gave a report of the DNA-PK activation and the corresponding inhibitors, which belong to different chemical classes. Then homology modeling and molecular dynamics (MD) simulation were used to build the 3D model of DNA-PK receptor based on the X-ray structure of PI3K. All of the ligands were docked into the putative binding site of the 3D model of DNA-PK using the flexible docking method, and the probable interaction model between DNA-PK and the ligands were obtained. Based on the docking conformations and their alignment inside the binding pocket of DNA-PK, 3D QSAR analyses were performed on 259 ligands using CoMFA and CoMSIA methods. Both CoMFA and CoMSIA provide statistically valid models with good correlation and predictive power (CoMFA: q2 = 0.563, r(2) =0.876; CoMSIA: q(2) = 0.503, r(2) =0.870). Our models would offer help to better comprehend the structure-activity relationship existent for this class of compounds and also facilitate the design of new inhibitors with good chemical derivsity.
癌症治疗方法,如电离辐射或化学疗法,可能导致细胞中的 DNA 双链断裂 (DSBs)。DNA-PK 已成为药物发现工作的一个有吸引力的靶点,旨在修复 DSBs 和 V(D)J 重组。因此,人们特别关注寻找强效和选择性的 DNA-PK 抑制剂,已经报道了几类活性抑制剂。在本文中,我们报告了 DNA-PK 的激活及其相应的抑制剂,这些抑制剂属于不同的化学类别。然后,同源建模和分子动力学 (MD) 模拟用于基于 PI3K 的 X 射线结构构建 DNA-PK 受体的 3D 模型。使用柔性对接方法将所有配体对接入 DNA-PK 的三维模型的假定结合位点,并获得 DNA-PK 与配体之间的可能相互作用模型。基于对接构象及其在 DNA-PK 结合口袋内的排列,使用 CoMFA 和 CoMSIA 方法对 259 种配体进行了 3D-QSAR 分析。CoMFA 和 CoMSIA 都提供了具有良好相关性和预测能力的统计有效模型(CoMFA:q2 = 0.563,r(2) = 0.876;CoMSIA:q(2) = 0.503,r(2) = 0.870)。我们的模型将有助于更好地理解这一类化合物的结构-活性关系,并为设计具有良好化学多样性的新型抑制剂提供帮助。