ABSTRACT
Comparative molecular field analysis and comparative molecular similarity indices analysis were performed on 114 analogues of 1,2-diarylimidazole to optimize their cyclooxygenase-2 (COX-2) selective antiinflammatory activities. These studies produced models with high correlation coefficients and good predictive abilities. Docking studies were also carried out wherein these analogues were docked into the active sites of both COX-1 and COX-2 to analyze the receptor ligand interactions that confer selectivity for COX-2. The most active molecule in the series (53) adopts an orientation similar to that of SC-558 (4-[5-(4-bromophenyl)-3-trifluoromethyl-1H-1-pyrozolyl]-1-benzenesulfonamide) inside the COX-2 active site while the least active molecule (101) optimizes in a different orientation. In the active site, there are some strong hydrogen-bonding interactions observed between residues His90, Arg513, and Phe518 and the ligands. Additionally, a correlation of the quantitative structure-activity relationship data and the docking results is found to validate each other and suggests the importance of the binding step in overall drug action.
Subject(s)
Cyclooxygenase Inhibitors/chemistry , Imidazoles/chemistry , Isoenzymes/chemistry , Prostaglandin-Endoperoxide Synthases/chemistry , Binding Sites , Cyclooxygenase 1 , Cyclooxygenase 2 , Cyclooxygenase 2 Inhibitors , Drug Design , Molecular Conformation , Quantitative Structure-Activity RelationshipABSTRACT
3D-QSAR studies using MFA and RSA methods were performed on a series of 39MMP-13 inhibitors. Model developed by MFA method has a r(2)(cv) (cross-validated) of 0.616 while its r(2) (conventional) value is 0.822. For the RSA model r(2)(cv) and r(2) are 0.681 and 0.847, respectively. Both the models indicate good internal as well as external predictive abilities. These models provide crucial information about the field descriptors for the design of potential inhibitors of MMP-13.
Subject(s)
Matrix Metalloproteinase Inhibitors , Protease Inhibitors/chemical synthesis , Protease Inhibitors/pharmacology , Algorithms , Collagenases/chemistry , Matrix Metalloproteinase 13 , Models, Molecular , Protease Inhibitors/chemistry , Protein Conformation , Quantitative Structure-Activity Relationship , Receptors, Drug/chemistry , Regression AnalysisABSTRACT
Dibenzyltin(IV)dichloride and dibenzyltin(IV)diisothiocyanate derivatives with N,S-donor ligands show significant cytotoxic activities against human cancer cell lines, and are well compared to analogous dialkyltin(IV) derivatives. CoMFA models were generated for the first time for these organotin derivatives using the cytotoxic activities (against two human tumor cell lines, MCF-7, a mammary carcinoma and WiDr, a colon carcinoma) of 21 complexes. High r(2) and r(2)(cv) values for both CoMFA models indicate good predictive power for the models.
