ArticleJournal of computer-aided molecular design2026
Ligand-induced reshaping of the conformational free energy landscape drives dynamic restriction in Trypanosoma brucei alternative oxidase.
Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The alternative oxidase (AOX) of Trypanosoma brucei is a validated therapeutic target for Human African Trypanosomiasis; however, the dynamic mechanisms governing its potent inhibition by lipophilic antibiotics remain poorly resolved. While static crystal structures provide insight into binding poses, the thermodynamic and kinetic drivers of picomolar efficacy are largely undefined. In this study, we employed triplicate microsecond-scale molecular dynamics (MD) simulations coupled with Markov state modeling (MSM) to compare the conformational ensembles of AOX bound to the ubiquinone-2 (UQ2) substrate analogue and the potent inhibitors ascofuranone (ASCO) and ferulenol. Our kinetic analysis reveals that inhibition is governed by a fundamental reshaping of the protein's free energy landscape. The enzyme-substrate (UQ2) complex maintains a dynamic equilibrium across three metastable macrostates (stationary populations of 56.2%, 23.7%, and 20.1%), connected by low energetic barriers that facilitate the rapid conformational cycling required for catalysis. Conversely, inhibitor (ASCO) binding triggers a conformational ensemble, causing the free energy landscape to funnel into a single, deep dynamic restriction containing 98.5% of the population. The stabilization of this trapped state is driven by a core hydrogen-bond network that rigidifies the active site, a process thermodynamically compensated by a substantial increase in entropic disorder at the C-terminus. We propose that high-affinity inhibitors function not solely through steric occlusion, but by inducing a "dynamic restriction" that effectively decouples the enzyme from the thermal fluctuations necessary for catalytic turnover. These findings provide a rigorous kinetic framework for engineering next-generation AOX inhibitors with optimized drug-target residence times.
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