五元杂环并嘧啶类胸苷酸合成酶抑制剂的构效关系和分子对接

用比较分子场分析法(CoMFA)和比较分子相似性指数分析法(CoMSIA)研究了38个五元杂环并嘧啶衍生物类胸苷酸合成酶抑制剂的三维定量构效关系(3D-QSAR), 建立了相关预测模型. CoMFA和CoMSIA模型的交互验证相关系数q²分别为0.662和0.672、非交互验证相关系数R²分别为0.921和0.884、外部交互验证相关系数Q_ext²分别为0.85和0.81. 分子对接得到的结合模式与三维定量构效关系得到的结果一致. 结果表明这两种模型都具有良好的预测能力, 可应用于指导化合物的设计和结构修饰, 为进一步设计新型胸苷酸合成酶抑制剂提供了理论依据.

QSAR and Molecular Docking on Five-Membered Heterocyclopyrimidines as Thymidylate Synthase Inhibitors

The three-dimensional quantitative structure-activity relationships (3D-QSAR) were established for 38 five-membered heterocyclopyrimidine thymidylate synthase inhibitors by using comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA) techniques. With the CoMFA model, the cross-validated value (q²) was 0.662, the non-cross-validated value (R²) was 0.921, and the external cross-validated value (Q_ext²) was 0.85. And with the CoMSIA model, the corresponding q², R², and Q_ext² values were 0.672, 0.884, and 0.81, respectively. The mode of action obtained by molecular docking was in agreement with the 3D-QSAR results. The results revealed that both models have good predictive capability to guide the design and structural modification of homologic compounds. Furthermore, these results also establish a base level for further research and development of new thymidylate synthase inhibitors.