Scientific Reports · 2017 · 45 citations · 48 references
Life SciencesMedicinal ChemistryPharmacologyEnzyme MechanismEnzymologyStructural BiologyEnzyme FunctionEnzyme InhibitionLigand BindingProtein-ligand DockingStructural EnzymologyChemical Enzyme InhibitorsIntermolecular Protein InteractionsLigand FlexibilityProtein Conformational ChangesProtein-ligand Binding DynamicsProtein-ligand Complex ModelingProtein-ligand Interaction Pharmacophore ModelsProtein-ligand Interaction Pharmacophores
Metalloenzyme arginase is a therapeutically relevant target associated with tumor growth. To fight cancer immunosuppression, arginase activity can be modulated by small chemical inhibitors binding to its catalytic center. To better understand molecular mechanisms of arginase inhibition, a careful computer-aided mechanistic structural investigation of this enzyme was conducted. Using molecular dynamics (MD) simulations in the microsecond range, key regions of the protein active site were identified and their flexibility was evaluated and compared. A cavity opening phenomenon was observed, involving three loops directly interacting with all known ligands, while metal coordinating regions remained motionless. A novel dynamic 3D pharmacophore analysis method termed dynophores has been developed that allows for the construction of a single 3D-model comprising all ligand-enzyme interactions occurring throughout a complete MD trajectory. This new technique for the in silico study of intermolecular interactions allows for loop flexibility analysis coupled with movements and conformational changes of bound ligands. Presented MD studies highlight the plasticity of the size of the arginase active site, leading to the hypothesis that larger ligands can enter the cavity of arginase. Experimental testing of a targeted fragment library substituted by different aliphatic groups validates this hypothesis, paving the way for the design of arginase inhibitors with novel binding patterns.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations
LINCS: A linear constraint solver for molecular simulations
Berk Hess, Henk Bekker, Herman J. C. Berendsen et al. · Journal of Computational Chemistry · 1997 · 17.1K citations
Natural Sciences, Chemistry, Physics +14