Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
Institutes of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Mol Divers. 2020 Feb;24(1):141-154. doi: 10.1007/s11030-019-09936-5. Epub 2019 Mar 13.
hURAT1 (human urate transporter 1) is a successful target for hyperuricemia. Recently, the modification work on hURAT1 inhibitors showed that the flexible linkers would benefit biological activity. The study aimed to investigate the contribution of the linkers and give modification strategies on this kind of structures based on QSAR models (HQSAR and topomer CoMFA). The most effective HQSAR and topomer CoMFA models were generated by applying the training set containing 63 compounds, with the cross-validated q values of 0.869/0.818 and the non-cross-validated correlation coefficients r of 0.951/0.978, respectively. The Y-randomization test was applied to ensure the robustness of the models. The external predictive correlation coefficient (r) grounded on the external test set (21 compounds) of two models was 0.910 and 0.907, respectively. In addition, the models were validated by Golbraikh-Tropsha and Roy methods, as well as other statistical metrics. The results showed that both models were reliable. Topomer CoMFA steric/electrostatic contours and HQSAR atomic contribution maps illustrated the structural features which governed their inhibitory potency. The dependable results could provide important insights to guide the designing of more potential hURAT1 inhibitors.
hURAT1(人尿酸盐转运蛋白 1)是高尿酸血症的一个成功靶点。最近,hURAT1 抑制剂的修饰工作表明,柔性连接子将有利于生物活性。本研究旨在探讨连接子的贡献,并基于 QSAR 模型(HQSAR 和拓扑 CoMFA)对这类结构进行修饰策略。通过应用包含 63 种化合物的训练集,生成了最有效的 HQSAR 和拓扑 CoMFA 模型,交叉验证 q 值分别为 0.869/0.818 和非交叉验证相关系数 r 分别为 0.951/0.978。Y 随机化检验用于确保模型的稳健性。两个模型的外部预测相关系数(r)基于外部测试集(21 种化合物)分别为 0.910 和 0.907。此外,还通过 Golbraikh-Tropsha 和 Roy 方法以及其他统计指标对模型进行了验证。结果表明,两个模型都是可靠的。拓扑 CoMFA 立体/静电等高线和 HQSAR 原子贡献图说明了控制其抑制效力的结构特征。可靠的结果可以为指导设计更有潜力的 hURAT1 抑制剂提供重要的见解。