Kulkarni Ravindra G, Srivani Palukuri, Achaiah Garlapati, Sastry G Narahari
University College of Pharmaceutical Sciences, Kakatiya University, Warangal, Andhra Pradesh, India.
J Comput Aided Mol Des. 2007 Apr;21(4):155-66. doi: 10.1007/s10822-006-9092-9. Epub 2007 Jan 4.
The p38 protein kinase is a serine-threonine mitogen activated protein kinase, which plays an important role in inflammation and arthritis. A combined study of 3D-QSAR and molecular docking has been undertaken to explore the structural insights of pyrazolyl urea p38 kinase inhibitors. The 3D-QSAR studies involved comparative molecular field analysis (CoMFA) and comparative molecular similarity indices (CoMSIA). The best CoMFA model was derived from the atom fit alignment with a cross-validated r (2 )(q (2)) value of 0.516 and conventional r (2) of 0.950, while the best CoMSIA model yielded a q (2) of 0.455 and r (2) of 0.979 (39 molecules in training set, 9 molecules in test set). The CoMFA and CoMSIA contour maps generated from these models provided inklings about the influence of interactive molecular fields in the space on the activity. GOLD, Sybyl (FlexX) and AutoDock docking protocols were exercised to explore the protein-inhibitor interactions. The integration of 3D-QSAR and molecular docking has proffered essential structural features of pyrazolyl urea inhibitors and also strategies to design new potent analogues with enhanced activity.
p38蛋白激酶是一种丝氨酸 - 苏氨酸丝裂原活化蛋白激酶,在炎症和关节炎中起重要作用。已开展3D-QSAR和分子对接的联合研究,以探索吡唑基脲p38激酶抑制剂的结构见解。3D-QSAR研究包括比较分子场分析(CoMFA)和比较分子相似性指数(CoMSIA)。最佳的CoMFA模型源自原子拟合比对,其交叉验证的r(2)(q(2))值为0.516,常规r(2)为0.950,而最佳的CoMSIA模型的q(2)为0.455,r(2)为0.979(训练集中有39个分子,测试集中有9个分子)。由这些模型生成的CoMFA和CoMSIA等高线图提供了关于空间中相互作用分子场对活性影响的线索。运用了GOLD、Sybyl(FlexX)和AutoDock对接协议来探索蛋白质 - 抑制剂相互作用。3D-QSAR和分子对接的整合提供了吡唑基脲抑制剂的基本结构特征,以及设计具有增强活性的新型有效类似物的策略。