ABSTRACT
Stilbene analogs are a new class of anti-inflammatory compounds that effectively inhibit COX-2, which is the major target in the treatment of inflammation and pain. In this study, docking simulations were conducted using AutoDock 4 software that focused on the binding of this class of compounds to COX-2 protein. Our aim was to better understand the structural and chemical features responsible for the recognition mechanism of these compounds, and to explore their binding modes of interaction at the active site by comparing them with COX-2 co-crystallized with SC-558. The docking results allowed us to provide a plausible explanation for the different binding affinities observed experimentally. These results show that important conserved residues, in particular Arg513, Phe518, Trp387, Leu352, Leu531 and Arg120, could be essential for the binding of the ligands to COX-2 protein. The quality of the docking model was estimated based on the binding energies of the studied compounds. A good correlation was obtained between experimental logAr values and the predicted binding energies of the studied compounds.
Subject(s)
Cyclooxygenase 2/chemistry , Cyclooxygenase 2/metabolism , Models, Molecular , Stilbenes/chemistry , Stilbenes/metabolism , Binding Sites , Catalytic Domain , Computer Simulation , Drug Design , Hydrophobic and Hydrophilic Interactions , Ligands , Protein Binding , Protein Conformation , Protein Isoforms , SoftwareABSTRACT
The receptor tyrosine kinase c-Met have multiple roles during cancer development and is currently considered as an important target for molecularly targeted therapies. Structural knowledge of how compounds interact on c-Met catalytic site could guide structure-based drug design strategies towards more effective and selective anticancer drug candidates. However, although 17 crystal structures of c-Met complexed with adenosine triphosphate (ATP)-competitive kinase inhibitors are publicly available (August 2009), there are still open questions regarding the prediction of ligand binding modes. We have applied molecular modeling and molecular mechanics to analyze the distribution of ligands interaction energy on c-Met residues, and deduced a new model of the active site allowing for an unambiguous identification of ligand binding modes. We demonstrate that the binding of known ligands on the c-Met catalytic site involves seven identified structurally-distinct areas. Five of these match the generic kinase ATP binding site model built by Novartis scientists in the 1990s, while the two others are distinct allosteric regions that can be exploited by second generation kinase inhibitors such as Gleevec. We show here that c-Met can accept both such kinds of allosteric inhibitors, a very unusual feature in the kinase family that opens new grounds for highly specific drug design.
Subject(s)
Adenosine Triphosphate/chemistry , Ligands , Proto-Oncogene Proteins c-met/chemistry , Adenosine Triphosphate/metabolism , Allosteric Regulation , Amino Acid Sequence , Antineoplastic Agents/chemistry , Antineoplastic Agents/pharmacology , Catalytic Domain , Computer Simulation , Crystallography, X-Ray , Drug Design , Molecular Sequence Data , Protein Binding , Protein Kinase Inhibitors/chemistry , Protein Kinase Inhibitors/pharmacology , Protein Structure, Secondary , Proto-Oncogene Proteins c-met/metabolismABSTRACT
Pyridopyrimidine-based analogues are among the most highly potent and selective antagonists of cholecystokinin receptor subtype-1 (CCK1R) described to date. To better understand the structural and chemical features responsible for the recognition mechanism, and to explore the binding pocket of these compounds, we performed automated molecular docking using GOLD2.2 software on some derivatives with structural diversity, and propose a putative binding conformation for each compound. The docking protocol was guided by the key role of the Asn333 residue, as revealed by site directed mutagenesis studies. The results suggest two putative binding modes located in the same pocket. Both are characterized by interaction with the main residues revealed by experiment, Asn333 and Arg336, and differ in the spatial position of the Boc-Trp moiety of these compounds. Hydrophobic contacts with residues Thr117, Phe107, Ile352 and Ile329 are also in agreement with experimental data. Despite the poor correlation obtained between the estimated binding energies and the experimental activity, the proposed models allow us to suggest a plausible explanation of the observed binding data in accordance with chemical characteristics of the compounds, and also to explain the observed diastereoselectivity of this family of antagonists towards CCK1R. The most reasonable selected binding conformations could be the starting point for future studies. Figure Superimposition of the two putative binding conformations revealed by molecular docking for pyridopyrimidine-based CCK1 antagonists.
