Centre for Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, 160 062, Punjab, India.
J Mol Model. 2010 Apr;16(4):669-76. doi: 10.1007/s00894-009-0621-z. Epub 2009 Dec 4.
Asthma is an inflammatory disease of the lungs. Clinical studies suggest that eotaxin and chemokine receptor-3 (CCR3) play a primary role in the recruitment of eosinophils in allergic asthma. Development of novel and potent CCR3 antagonists could provide a novel mechanism for inhibition of this recruitment process, thereby preventing asthma. With the intention of designing new ligands with enhanced inhibitor potencies against CCR3, a 3D-QSAR CoMFA study was carried out on 41 4-benzylpiperidinealkylureas and amide derivatives. The best statistics of the developed CoMFA model were r (2) = 0.960, r(2)cv, n = 32 for the training set and r(2)pred, n = 9 for the test set. The generated 3D-QSAR contribution maps shed some light on the effects of the substitution pattern related to CCR3 antagonist activity.
哮喘是一种肺部炎症性疾病。临床研究表明,嗜酸性粒细胞趋化因子(eotaxin)和趋化因子受体-3(CCR3)在过敏性哮喘中嗜酸性粒细胞的募集中起主要作用。开发新型、有效的 CCR3 拮抗剂可以为抑制这种募集过程提供新的机制,从而预防哮喘。为了设计对 CCR3 具有增强抑制活性的新型配体,对 41 个 4-苄基哌啶烷醇脲和酰胺衍生物进行了三维定量构效关系 CoMFA 研究。所开发的 CoMFA 模型的最佳统计数据为 r(2) = 0.960,r(2)cv,n = 32 用于训练集,r(2)pred,n = 9 用于测试集。生成的三维定量构效关系贡献图阐明了与 CCR3 拮抗剂活性相关的取代模式的影响。