Wichapong Kanin, Lindner Marc, Pianwanit Somsak, Kokpol Sirirat, Sippl Wolfgang
Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Eur J Med Chem. 2009 Apr;44(4):1383-95. doi: 10.1016/j.ejmech.2008.09.027. Epub 2008 Sep 30.
One hundred and seventy-four pyrrolo[3,4-c]carbazole-1,3(2H,6H)-dione derivatives reported as inhibitors of the kinase Wee1 were used for a molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) study. Due to the availability of the three-dimensional structure of the Wee1 kinase a receptor-based alignment strategy was applied. Six available Wee1-inhibitor crystal structures were analyzed using the docking program GOLD resulting in a good reproduction of the experimentally derived position and interaction of the cocrystallized inhibitors. Since only a low correlation between docking scores and inhibitory activities was obtained for the series of 174 inhibitors a receptor-based 3D-QSAR study was performed, dividing the data set into 144 training set molecules and an external test set of 30 compounds. Besides the ligand alignment derived from the docking study we tested several other alignment procedures as basis for the 3D-QSAR analysis. The most predictive model was obtained using the alignment from the GOLD docking study. The CoMFA model was found to be robust (q(LOO)(2)=0.764 and r(2)=0.870). The predictive ability of the model was further examined by carrying out leave-20%-out and leave-50%-out cross-validation (q(2)=0.747 for leave-20%-out and 0.737 for leave-50%-out) and predicting the activities of 30 inhibitors used as external test set (r(pred)(2)=0.790). The graphical analysis of the CoMFA contour plot together with the key residues of the binding pocket provided important insight into the relevant interactions of the inhibitors. The results not only provide information about the essential features of potent Wee1 inhibitors but also show the advantage of using receptor-based alignment for 3D-QSAR analysis.
174种据报道为激酶Wee1抑制剂的吡咯并[3,4-c]咔唑-1,3(2H,6H)-二酮衍生物用于分子对接和三维定量构效关系(3D-QSAR)研究。由于Wee1激酶三维结构的可获得性,采用了基于受体的比对策略。使用对接程序GOLD分析了6个可用的Wee1-抑制剂晶体结构,很好地重现了实验得出的共结晶抑制剂的位置和相互作用。由于对于这174种抑制剂系列,对接分数与抑制活性之间仅获得了较低的相关性,因此进行了基于受体的3D-QSAR研究,将数据集分为144个训练集分子和一个包含30种化合物的外部测试集。除了从对接研究中得出的配体比对之外,我们还测试了其他几种比对程序作为3D-QSAR分析的基础。使用来自GOLD对接研究的比对获得了最具预测性的模型。发现CoMFA模型很稳健(q(LOO)(2)=0.764,r(2)=0.870)。通过进行留20%法和留50%法交叉验证进一步检验了模型的预测能力(留20%法时q(2)=0.747,留50%法时q(2)=0.737),并预测了用作外部测试集的30种抑制剂的活性(r(pred)(2)=0.790)。CoMFA等高线图的图形分析以及结合口袋的关键残基提供了对抑制剂相关相互作用的重要见解。结果不仅提供了有关有效Wee1抑制剂基本特征的信息,还展示了使用基于受体的比对进行3D-QSAR分析的优势。