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关于与CB(1)和CB(2)大麻素受体结合的结构要求的三维定量构效关系研究。

A 3D-QSAR study on the structural requirements for binding to CB(1) and CB(2) cannabinoid receptors.

作者信息

Fichera M, Cruciani G, Bianchi A, Musumarra G

机构信息

Dipartimento di Chimica, Università di Catania, Viale A. Doria, 6, 95125 Catania, Italy.

出版信息

J Med Chem. 2000 Jun 15;43(12):2300-9. doi: 10.1021/jm991074s.

Abstract

A 3D-QSAR study was carried out on 20 cannabinoids for which the binding affinities (K(i)) with respect to CB(1) and CB(2) receptors, determined in the same cell line, were available. For the first time three series of significantly different chemical structures such as Delta(9)-THC analogues, anandamides, and indoles were included in a single 3D-QSAR model, to obtain information on the interactions of all ligands with both CB(1) and CB(2) receptors and on their receptor selectivity. Delta(9)-THC was chosen as the structural template for alignment. The 3D-structure-activity correlation obtained by the GOLPE procedure provided a partial least squares (PLS) model with a very good predictive ability for the CB(1) receptor affinity of all compounds. The model allowed us to identify seven different regions in the space that contribute to explain the above binding affinities. External validation of the interpretation of the 3D-QSAR model was derived from a response-independent procedure such as principal components analysis (PCA). The CB(2) receptor model evidenced, besides the seven regions found for the CB(1) receptor, a new characteristic region for the CB(2) receptor. Another PCA, using 10 GRID probes, provided further evidence of receptor selectivity regions. One region opposite to the amidic NH of CB(1) selective O585 appears to be responsible for the CB(1) selectivity, while an interaction region opposite to the carbonyl of CB(2) selective JWH-015 appears to be involved in the CB(2) binding selectivity.

摘要

对20种大麻素进行了三维定量构效关系(3D-QSAR)研究,这些大麻素在同一细胞系中测定的与CB(1)和CB(2)受体的结合亲和力(K(i))数据可用。首次将三类具有显著不同化学结构的化合物,如Δ(9)-四氢大麻酚(Delta(9)-THC)类似物、花生四烯酸乙醇胺(anandamides)和吲哚,纳入单一的3D-QSAR模型中,以获取所有配体与CB(1)和CB(2)受体相互作用及其受体选择性的信息。选择Δ(9)-THC作为用于比对的结构模板。通过GOLPE程序获得的三维结构-活性相关性提供了一个偏最小二乘法(PLS)模型,该模型对所有化合物的CB(1)受体亲和力具有非常好的预测能力。该模型使我们能够识别空间中的七个不同区域,这些区域有助于解释上述结合亲和力。3D-QSAR模型解释的外部验证来自于主成分分析(PCA)等与响应无关的程序。CB(2)受体模型除了显示出与CB(1)受体相同的七个区域外,还显示出CB(2)受体的一个新的特征区域。另一个使用10个GRID探针的PCA提供了受体选择性区域的进一步证据。与CB(1)选择性的O585的酰胺基NH相对的一个区域似乎是CB(1)选择性的原因,而与CB(2)选择性的JWH-015的羰基相对的一个相互作用区域似乎参与了CB(2)结合选择性。

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