A 3D-QSAR study was carried out on 20 cannabinoids for which the binding affinities (Ki) with respect to CB1 and CB2 receptors, determined in the same cell line, were available. For the first time three series of significantly different chemical structures such as ¢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 CB1 and CB2 receptors and on their receptor selectivity. ¢9-THC was chosen as the structural template for alignment. The 3Dstructure- activity correlation obtained by the GOLPE procedure provided a partial least squares (PLS) model with a very good predictive ability for the CB1 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 3DQSAR model was derived from a response-independent procedure such as principal components analysis (PCA). The CB2 receptor model evidenced, besides the seven regions found for the CB1 receptor, a new characteristic region for the CB2 receptor. Another PCA, using 10 GRID probes, provided further evidence of receptor selectivity regions. One region opposite to the amidic NH of CB1 selective O585 appears to be responsible for the CB1 selectivity, while an interaction region opposite to the carbonyl of CB2 selective JWH-015 appears to be involved in the CB2 binding selectivity.
A 3D-QSAR Study on the Srtuctural Requirements for Binding to CB1 and CB2 Cannabinoid Receptors
CRUCIANI, Gabriele;
2000
Abstract
A 3D-QSAR study was carried out on 20 cannabinoids for which the binding affinities (Ki) with respect to CB1 and CB2 receptors, determined in the same cell line, were available. For the first time three series of significantly different chemical structures such as ¢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 CB1 and CB2 receptors and on their receptor selectivity. ¢9-THC was chosen as the structural template for alignment. The 3Dstructure- activity correlation obtained by the GOLPE procedure provided a partial least squares (PLS) model with a very good predictive ability for the CB1 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 3DQSAR model was derived from a response-independent procedure such as principal components analysis (PCA). The CB2 receptor model evidenced, besides the seven regions found for the CB1 receptor, a new characteristic region for the CB2 receptor. Another PCA, using 10 GRID probes, provided further evidence of receptor selectivity regions. One region opposite to the amidic NH of CB1 selective O585 appears to be responsible for the CB1 selectivity, while an interaction region opposite to the carbonyl of CB2 selective JWH-015 appears to be involved in the CB2 binding selectivity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
