School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China.
Molecules. 2012 Feb 17;17(2):2015-29. doi: 10.3390/molecules17022015.
Human mitotic kinesin Eg5 plays an essential role in mitoses and is an interesting drug target against cancer. To find the correlation between Eg5 and its inhibitors, structure-based 3D-quantitative structure-activity relationship (QSAR) studies were performed on a series of dihydropyrazole and dihydropyrrole derivatives using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. Based on the LigandFit docking results, predictive 3D-QSAR models were established, with cross-validated coefficient values (q²) up to 0.798 for CoMFA and 0.848 for CoMSIA, respectively. Furthermore, the CoMFA and CoMSIA models were mapped back to the binding sites of Eg5, which could provide a better understanding of vital interactions between the inhibitors and the kinase. Ligands binding in hydrophobic part of the inhibitor-binding pocket were found to be crucial for potent ligand binding and kinases selectivity. The analyses may be used to design more potent EG5 inhibitors and predict their activities prior to synthesis.
人类有丝分裂驱动蛋白 Eg5 在有丝分裂中起着重要作用,是一种针对癌症的有趣的药物靶点。为了找到 Eg5 与其抑制剂之间的相关性,对一系列二氢吡唑和二氢吡咯衍生物进行了基于结构的 3D 定量构效关系(QSAR)研究,使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)方法。基于 LigandFit 对接结果,建立了可预测的 3D-QSAR 模型,CoMFA 和 CoMSIA 的交叉验证系数(q²)分别高达 0.798 和 0.848。此外,CoMFA 和 CoMSIA 模型被映射回 Eg5 的结合位点,这可以更好地理解抑制剂和激酶之间的重要相互作用。发现抑制剂结合口袋的疏水区中结合的配体对于有效配体结合和激酶选择性至关重要。这些分析可用于设计更有效的 EG5 抑制剂,并在合成前预测它们的活性。