Publication | Closed Access
Searching the conformational complexity and binding properties of HDAC6 through docking and molecular dynamic simulations
32
Citations
66
References
2016
Year
Histone DeacetylasesMolecular BiologyComputational ChemistryChemistryMolecular DynamicsConformational ComplexityProtein FoldingMolecular Dynamic SimulationsMolecular RecognitionBiophysicsDd2-hdac6 Binding SiteBiochemistryConformational Study100-Ns-long Md SimulationsProtein ModelingStructural BiologyMolecular DockingNatural SciencesRational Drug DesignMedicineDrug DiscoveryComputational Biophysics
Histone deacetylases (HDACs) are a family of proteins involved in the deacetylation of histones and other non-histones substrates. HDAC6 belongs to class II and shares similar biological functions with others of its class. Nevertheless, its three-dimensional structure that involves the catalytic site remains unknown for exploring the ligand recognition properties. Therefore, in this contribution, homology modeling, 100-ns-long Molecular Dynamics (MD) simulation and docking calculations were combined to explore the conformational complexity and binding properties of the catalytic domain 2 from HDAC6 (DD2-HDAC6), for which activity and affinity toward five different ligands have been reported. Clustering analysis allowed identifying the most populated conformers present during the MD simulation, which were used as starting models to perform docking calculations with five DD2-HDAC6 inhibitors: Cay10603 (CAY), Rocilinostat (RCT), Tubastatin A (TBA), Tubacin (TBC), and Nexturastat (NXT), and then were also submitted to 100-ns-long MD simulations. Docking calculations revealed that the five inhibitors bind at the DD2-HDAC6 binding site with the lowest binding free energy, the same binding mode is maintained along the 100-ns-long MD simulations. Overall, our results provide structural information about the molecular flexibility of apo and holo DD2-HDAC6 states as well as insight of the map of interactions between DD2-HDAC6 and five well-known DD2-HDAC6 inhibitors allowing structural details to guide the drug design. Finally, we highlight the importance of combining different theoretical approaches to provide suitable structural models for structure-based drug design.
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