Chavatte P, Yous S, Marot C, Baurin N, Lesieur D
Institut de Chimie Pharmaceutique Albert Lespagnol, Université de Lille 2, BP 83, F-59006 Lille Cédex, France.
J Med Chem. 2001 Sep 27;44(20):3223-30. doi: 10.1021/jm0101343.
The three-dimensional quantitative structure-activity relationship (3D-QSAR) approach using comparative molecular field analysis (CoMFA) was applied to an extensive series of 305 varied diarylheterocyclic derivatives known as COX-2 selective inhibitors. X-ray crystal structure of COX-2 bound with SC-558, a selective COX-2 inhibitor, was used to derive the putative bioactive conformation of these inhibitors. Five statistically significant models were obtained from the randomly constituted training sets (229 compounds) and subsequently validated with the corresponding test sets (76 compounds). The best predictive model (n = 229, q(2) = 0.714, N = 8, r(2) = 0.905, s = 0.291, F = 261.545) was selected for further comparison of the CoMFA contour maps obtained for steric, electrostatic, and lipophilic fields with the enzyme structure. The high level of compatibility with the COX-2 enzyme topology shows the great accuracy of this model that can predict inhibitory activities for a wide range of compounds and offers important structural insight into designing novel antiinflammatory drugs prior to their synthesis.
采用比较分子场分析(CoMFA)的三维定量构效关系(3D-QSAR)方法应用于一系列广泛的305种不同的二芳基杂环衍生物,这些衍生物被称为COX-2选择性抑制剂。结合选择性COX-2抑制剂SC-558的COX-2的X射线晶体结构用于推导这些抑制剂的假定生物活性构象。从随机组成的训练集(229种化合物)中获得了五个具有统计学意义的模型,随后用相应的测试集(76种化合物)进行了验证。选择最佳预测模型(n = 229,q(2) = 0.714,N = 8,r(2) = 0.905,s = 0.291,F = 261.545),以便进一步比较针对空间、静电和亲脂性场获得的CoMFA等高线图与酶结构。与COX-2酶拓扑结构的高度兼容性表明该模型具有很高的准确性,能够预测多种化合物的抑制活性,并为新型抗炎药物的合成前设计提供重要的结构见解。