College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Shaanxi Key Laboratory of Chemical Additives for Industry, Xi'an, 710021, China.
Mol Divers. 2021 Aug;25(3):1855-1872. doi: 10.1007/s11030-020-10172-5. Epub 2021 Jan 3.
Cancer treatment continues to be one of the most serious public health issues in the world. The overexpression of BRD4 protein has led to a series of malignant tumors, hence the development of small molecule BRD4 protease inhibitors has always been a hot spot in the field of medical research. In this study, a series of 4,5-dihydro-[1, 2, 4] triazolo [4, 3-f] pteridine derivatives were used to establish 3D/2D-QSAR models and to discuss the relationship between inhibitor structure and activity. Four ideal models were established, including the comparative molecular field analysis (CoMFA: [Formula: see text] = 0.574, [Formula: see text] = 0.947) model, comparative molecular similarity index analysis (CoMSIA: [Formula: see text]= 0.622, [Formula: see text] = 0.916) model, topomer CoMFA ([Formula: see text] = 0.691, [Formula: see text]= 0.912) model and hologram quantitative structure-activity relationship (HQSAR: [Formula: see text]= 0.759, [Formula: see text] = 0.963) model. They show quite good external predictive power for the test set, with [Formula: see text] values of 0.602, 0.624, 0.671 and 0.750, respectively. In addition, the contour and color code map given by the 2D/3D-QSAR model with the results of molecular docking analyzed to chalk up modification methods for improving inhibitory activity, which was verified by designing novel compounds. The analysis results are helpful to promote the modification of the inhibitor framework and to provide a reference for the construction of new and promising BRD4 inhibitor compounds.
癌症治疗仍然是世界上最严重的公共卫生问题之一。BRD4 蛋白的过表达导致了一系列恶性肿瘤的发生,因此,小分子 BRD4 蛋白酶抑制剂的开发一直是医学研究领域的热点。本研究采用一系列 4,5-二氢-[1,2,4]三唑并[4,3-f]蝶啶衍生物建立了 3D/2D-QSAR 模型,并探讨了抑制剂结构与活性之间的关系。建立了四个理想模型,包括比较分子场分析(CoMFA:[公式:见文本]=0.574,[公式:见文本]=0.947)模型、比较分子相似性指数分析(CoMSIA:[公式:见文本]=0.622,[公式:见文本]=0.916)模型、拓扑 CoMFA([公式:见文本]=0.691,[公式:见文本]=0.912)模型和全息定量构效关系(HQSAR:[公式:见文本]=0.759,[公式:见文本]=0.963)模型。它们对测试集均表现出较好的外部预测能力,其[公式:见文本]值分别为 0.602、0.624、0.671 和 0.750。此外,通过对分子对接结果进行分析,给出了二维/三维 QSAR 模型的等高线和颜色编码图,为提高抑制活性的修饰方法提供了理论依据,并通过设计新型化合物进行了验证。分析结果有助于促进抑制剂骨架的修饰,为构建新型有前途的 BRD4 抑制剂化合物提供参考。