Author: Chen, Haifeng; Li, Qiang; Yao, Xiaojun; Fan, BoTao; Yuan, Shengang; Panaye, A.; Doucet, J. P.
Title: CoMFA/CoMSIA/HQSAR and Docking Study of the Binding Mode of Selective Cyclooxygenase (COXâ€2) Inhibitors Cord-id: s0cjlflq Document date: 2004_2_18
ID: s0cjlflq
Snippet: The intermolecular interaction between four types of antiâ€inflammatory inhibitors (oxazoles, pyrazoles, pyrroles and imidazoles) and COXâ€2 receptor was studied. The results of docking suggest that they have similar interaction mechanism. The most active compounds of these four types of inhibitors could both form several hydrogen bonds with residues His90, Arg513, Leu352 and Arg120, and develop hydrophobic interaction with residues Phe518, Leu352 and Leu359. This is consistent with the invest
Document: The intermolecular interaction between four types of antiâ€inflammatory inhibitors (oxazoles, pyrazoles, pyrroles and imidazoles) and COXâ€2 receptor was studied. The results of docking suggest that they have similar interaction mechanism. The most active compounds of these four types of inhibitors could both form several hydrogen bonds with residues His90, Arg513, Leu352 and Arg120, and develop hydrophobic interaction with residues Phe518, Leu352 and Leu359. This is consistent with the investigation reported by R. G. Kurumbail et al. (Nature. 1996, 384, 644â€648). A common 3Dâ€QSAR model could be constructed with these four categories of COXâ€2 inhibitors using the method of docking†guided conformer selection. The crossâ€validated q(2) values are found as 0.741 and 0.632 for CoMFA and CoMSIA respectively. And the nonâ€crossâ€validated r(2) values are 0.887 and 0.885. 54 inhibitors constitute the test set used to validate the model. The results show that this model possesses good predictive ability for diverse COXâ€2 inhibitors. Furthermore, a HQSAR model was used to evaluate the influence of substituents on antiâ€inflammatory activity. Compared with the results of previous works, our model possesses significantly better prediction ability. It could help us to well understand the interaction mechanism between inhibitors and COXâ€2 receptor, and to make quantitative prediction of their inhibitory activities.
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