Biochemistry · 2015 · 37 citations · 27 references
Life SciencesBiochemistryPharmacologyEnzyme MechanismEnzymologyStructural BiologyConformational DynamicsEnzyme FunctionEnzyme KineticsMolecular DynamicsProtein DynamicsStructural EnzymologyActive Site Loop DynamicsClosed State TransitionsConformational Transition KineticsEnzyme Loop DynamicsEnzyme-inhibitor BindingIsomerization KineticsKinetic Models Of BindingKinetic Models Of Conformational Change
Slow-onset enzyme inhibitors are the subject of considerable interest as an approach to increasing the potency of pharmaceutical compounds by extending the residence time of the inhibitor on the target (the lifetime of the drug-receptor complex). However, rational modulation of residence time presents significant challenges because it requires additional mechanistic insight, such as the nature of the transition state for postbinding isomerization. Our previous work, based on X-ray crystallography, enzyme kinetics, and molecular dynamics simulation, suggested that the slow step in inhibition of the Mycobacterium tuberculosis enoyl-ACP reductase InhA involves a change in the conformation of the substrate binding loop from an open state in the initial enzyme-inhibitor complex to a closed state in the final enzyme-inhibitor complex. Here, we use multidimensional free energy landscapes for loop isomerization to obtain a computational model for the transition state. The results suggest that slow-onset inhibitors crowd key side chains on helices that slide past each other during isomerization, resulting in a steric clash. The landscapes become significantly flatter when residues involved in the steric clash are replaced with alanine. Importantly, this lower barrier can be increased by rational inhibitor redesign to restore the steric clash. Crystallographic studies and enzyme kinetics confirm the predicted effects on loop structure and flexibility, as well as inhibitor residence time. These loss and regain of function studies validate our mechanistic hypothesis for interactions controlling substrate binding loop isomerization, providing a platform for the future design of inhibitors with longer residence times and better in vivo potency. Similar opportunities for slow-onset inhibition via the same mechanism are identified in other pathogens.
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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
The Amber biomolecular simulation programs
David A. Case, Thomas E. Cheatham, Tom Darden et al. · Journal of Computational Chemistry · 2005 · 9.6K citations · Full text