Yang Guang-Fu, Lu Hai-Ting, Xiong Ying, Zhan Chang-Guo
Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan.
Bioorg Med Chem. 2006 Mar 1;14(5):1462-73. doi: 10.1016/j.bmc.2005.09.073. Epub 2005 Nov 2.
Molecular docking and 3D-QSAR analyses were performed to understand how PDE5 and PDE6 interact with a series of (49) cyclic guanine derivatives. Using the conformations of the compounds revealed by molecular docking, CoMFA and CoMSIA analyses resulted in the first quantitative structure-activity relationship (QSAR) and first quantitative structure-selectivity relationship (QSSR) models (with high cross-validated correlation coefficient q(2) and conventional correlation coefficient r(2) values) for predicting the inhibitory activity against PDE5 and the selectivity against PDE6. The high q(2) and r(2) values, along with further testing, indicate that the obtained 3D-QSAR and 3D-QSSR models will be valuable in predicting both the inhibitory activity and selectivity of cyclic guanine derivatives for these protein targets. A set of 3D contour plots drawn based on the 3D-QSAR and 3D-QSSR models reveal some useful clues to improve both the activity and selectivity by modifying structures of the compounds. It has been demonstrated that both the steric and electrostatic factors should appropriately be taken into account in future rational design and development of more active and more selective PDE5 inhibitors for the therapeutic treatment of erectile dysfunction (ED).
进行了分子对接和3D-QSAR分析,以了解磷酸二酯酶5(PDE5)和磷酸二酯酶6(PDE6)如何与一系列(49种)环鸟嘌呤衍生物相互作用。利用分子对接揭示的化合物构象,比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)得出了首个用于预测对PDE5的抑制活性和对PDE6的选择性的定量构效关系(QSAR)模型和首个定量构-选择性关系(QSSR)模型(具有高交叉验证相关系数q(2)和传统相关系数r(2)值)。高q(2)和r(2)值以及进一步的测试表明,所获得的3D-QSAR和3D-QSSR模型在预测环鸟嘌呤衍生物对这些蛋白质靶点的抑制活性和选择性方面将具有重要价值。基于3D-QSAR和3D-QSSR模型绘制的一组3D等高线图揭示了一些通过修饰化合物结构来提高活性和选择性的有用线索。已经证明,在未来合理设计和开发用于治疗勃起功能障碍(ED)的更具活性和选择性的PDE5抑制剂时,应适当考虑空间和静电因素。