Yi Ping, Qiu Minghua
State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650204, China.
Eur J Med Chem. 2008 Mar;43(3):604-13. doi: 10.1016/j.ejmech.2007.04.020. Epub 2007 May 24.
In order to better understand the structural and chemical features of c-Jun N-terminal kinase-1 (JNK-1), which is a member of the mitogen activated protein kinase (MAP kinase) family of enzymes responsible for the serine/threonine phosphorylation of intracellular targets, 3D-QSAR studies of some aminopyridine carboxamides as c-Jun N-terminal kinase inhibitors were performed by comparative molecular field analysis (CoMFA) to rationalize the structural requirements responsible for the inhibitory activity of these compounds. The genetic algorithm of GOLD3.1 has been employed to position 54 aminopyridine carboxamides in the active sites of JNK-1 to determine the probable binding conformation. The docking results provided a reliable conformational alignment scheme for 3D-QSAR model. Based on the docking conformations, highly predictive comparative molecular field analysis (CoMFA) was performed with a cross-validated q(2) of 0.585. The non-cross-validated analysis with six optimum components revealed a conventional r(2) value of 0.988, F=510.200, and an estimated standard error of 0.071. Furthermore, the CoMFA model was mapped back to the binding sites of JNK-1, to get a better understanding of vital interactions between the aminopyridine carboxamides and the kinase. Based on the docking and CoMFA analyses, we have identified some key features in the aminopyridine carboxamides that are responsible for JNK-1 inhibitory activity. The analyses may be used to design more potent aminopyridine carboxamides and predict their activity prior to synthesis.
为了更好地理解c-Jun氨基末端激酶-1(JNK-1)的结构和化学特征,JNK-1是丝裂原活化蛋白激酶(MAP激酶)家族的成员之一,负责细胞内靶标的丝氨酸/苏氨酸磷酸化,通过比较分子场分析(CoMFA)对一些作为c-Jun氨基末端激酶抑制剂的氨基吡啶甲酰胺进行了三维定量构效关系(3D-QSAR)研究,以阐明决定这些化合物抑制活性的结构要求。采用GOLD3.1的遗传算法将54种氨基吡啶甲酰胺定位在JNK-1的活性位点,以确定可能的结合构象。对接结果为3D-QSAR模型提供了可靠的构象比对方案。基于对接构象,进行了预测性较高的比较分子场分析(CoMFA),交叉验证q(2)值为0.585。对六个最佳成分进行的非交叉验证分析显示,传统r(2)值为0.988,F = 510.200,估计标准误差为0.071。此外,将CoMFA模型映射回JNK-1结合位点,以更好地理解氨基吡啶甲酰胺与激酶之间的重要相互作用。基于对接和CoMFA分析,我们确定了氨基吡啶甲酰胺中一些导致JNK-1抑制活性的关键特征。这些分析可用于设计更有效的氨基吡啶甲酰胺,并在合成前预测其活性。