Rieger J M, Brown M L, Sullivan G W, Linden J, Macdonald T L
Department of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, Virginia 22904-4319, USA.
J Med Chem. 2001 Feb 15;44(4):531-9. doi: 10.1021/jm0003642.
We have been interested in the design, synthesis, and evaluation of novel adenosine A2A agonists. Through the use of comparative molecular field analysis (CoMFA) we have generated a training model that includes 78 structurally diverse A2A agonists and correlated their affinity for isolated rat brain receptors with differences in their structural and electrostatic properties. We validated this model by predicting the activity of a test set that included 24 additional A2A agonists. Our CoMFA model, which incorporates the physiochemical property of dipole and selects against A1 receptor activity, generated a correlated final model (r2 = 0.891) that provides for enhanced A2A selectivity and predictability. Synthesis, pharmacological evaluation, and modeling of four novel ligands further validate the utility and predictive power (r2 = 0.626) of the CoMFA model.
我们一直对新型腺苷A2A激动剂的设计、合成及评估感兴趣。通过使用比较分子场分析(CoMFA),我们建立了一个训练模型,该模型包含78种结构多样的A2A激动剂,并将它们对分离的大鼠脑受体的亲和力与其结构和静电性质的差异相关联。我们通过预测一个包含另外24种A2A激动剂的测试集的活性来验证这个模型。我们的CoMFA模型结合了偶极的物理化学性质并对A1受体活性进行筛选,生成了一个相关的最终模型(r2 = 0.891),该模型具有更高的A2A选择性和预测性。四种新型配体的合成、药理学评估及建模进一步验证了CoMFA模型的实用性和预测能力(r2 = 0.626)。