Three-dimensional quantitative structure-activity relationship （3D-QSAR） and docking studies of a series of novel dioxopyrrolinyl-amino-pyrimidine derivatives, which are potential dual inhibitors mediating a transcr...Three-dimensional quantitative structure-activity relationship （3D-QSAR） and docking studies of a series of novel dioxopyrrolinyl-amino-pyrimidine derivatives, which are potential dual inhibitors mediating a transcriptional activation towards protein-1 （AP-1） and nuclear factor kappa B （NF-κB）, have been carried out. The QS, AR models established by comparative molecular field analysis （CoMFA） and comparative molecular similarity index analysis （CoMSIA） show a good predictive ability with cross-validated coefficients q2 of 0.644 and 0.636, respectively. The docking result shows that there are quite lower average values of the flexible and rigid energy scores on the selected binding sites, meanwhile, it further shows that the binding sites just fall on the joint regions between AP-1 （and NF-κB） and DNA. The reason that these analogues have inhibition function towards AP-I and NF-κB is that their existence on these joint regions can effectively prevent free AP-I and NF-κB from binding to DNA. These results can offer a valuable theoretical reference to the pharmaceutical molecular design as well as the action mechanism analysis.展开更多
基金Acknowledgments： The authors are pleased to thank the financial supports of the National Natural Science Foundation of China （Nos.： 20673148 and 90608012）. We heartily thank the Molecular Discovery Ltd. for giving us the Dock 6.0 program as a freewarc. The authors are also pleased to thank the College of Life Sciences, Sun Yat-Sen University for the Sybyl 6.9 computation environment support.
文摘Three-dimensional quantitative structure-activity relationship （3D-QSAR） and docking studies of a series of novel dioxopyrrolinyl-amino-pyrimidine derivatives, which are potential dual inhibitors mediating a transcriptional activation towards protein-1 （AP-1） and nuclear factor kappa B （NF-κB）, have been carried out. The QS, AR models established by comparative molecular field analysis （CoMFA） and comparative molecular similarity index analysis （CoMSIA） show a good predictive ability with cross-validated coefficients q2 of 0.644 and 0.636, respectively. The docking result shows that there are quite lower average values of the flexible and rigid energy scores on the selected binding sites, meanwhile, it further shows that the binding sites just fall on the joint regions between AP-1 （and NF-κB） and DNA. The reason that these analogues have inhibition function towards AP-I and NF-κB is that their existence on these joint regions can effectively prevent free AP-I and NF-κB from binding to DNA. These results can offer a valuable theoretical reference to the pharmaceutical molecular design as well as the action mechanism analysis.
