Song Minghu, Breneman Curt M, Sukumar N
Department of Chemistry, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA.
Bioorg Med Chem. 2004 Jan 15;12(2):489-99. doi: 10.1016/j.bmc.2003.10.019.
The CCR5 chemokine receptor has recently been found to play a crucial role in the viral entry stage of HIV infection and has therefore become an attractive potential target for anti-HIV therapeutics. On the other hand, the lack of CCR5 crystal structure data has impeded the development of structure-based CCR5 antagonist design. In this paper, we compare two three-dimensional Quantitative Structure-Activity Relationship (3D-QSAR) methods: Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) on a series of piperidine-based CCR5 antagonists as an alternative approach to investigate the interaction between CCR5 antagonists and their receptor. Superimposition of antagonist structures was performed using two alignment rules: atomic/centroid rms fit and rigid body field fit techniques. The 3D QSAR models were derived from a training set of 72 compounds, and were found to have predictive capability for a set of 19 holdout test compounds. The resulting contour maps produced by the best CoMFA and CoMSIA models were used to identify the structural features relevant to biological activity in this series of compounds. Further analyses of these interaction-field contour maps also showed a high level of internal consistency.
最近发现CCR5趋化因子受体在HIV感染的病毒进入阶段起着关键作用,因此已成为抗HIV治疗的一个有吸引力的潜在靶点。另一方面,缺乏CCR5晶体结构数据阻碍了基于结构的CCR5拮抗剂设计的发展。在本文中,我们比较了两种三维定量构效关系(3D-QSAR)方法:比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA),以研究一系列基于哌啶的CCR5拮抗剂作为研究CCR5拮抗剂与其受体之间相互作用的替代方法。使用两种比对规则进行拮抗剂结构的叠加:原子/质心均方根拟合和刚体场拟合技术。3D QSAR模型来自72种化合物的训练集,并发现对一组19种保留测试化合物具有预测能力。由最佳CoMFA和CoMSIA模型生成的等高线图用于识别该系列化合物中与生物活性相关的结构特征。对这些相互作用场等高线图的进一步分析也显示出高度的内部一致性。