Can Second Coordination Sphere and Long-Range Interactions Modulate Hydrogen Atom Transfer in a Non-Heme Fe(II)-Dependent Histone Demethylase?

Fe(II)-dependent oxygenases employ hydrogen atom transfer (HAT) to produce a myriad of products. Understanding how such enzymes use dynamic processes beyond the immediate vicinity of the active site to control the selectivity and efficiency of HAT is important for metalloenzyme engineering; however, obtaining such knowledge by experiments is challenging. This study develops a computational framework for identifying second coordination sphere (SCS) and especially long-range (LR) residues relevant for catalysis through dynamic cross-correlation analysis (DCCA) using the human histone demethylase PHF8 (KDM7B) as a model oxygenase. Furthermore, the study explores the mechanistic pathways of influence of the SCS and LR residues on the HAT reaction. To demonstrate the plausibility of the approach, we investigated the effect of a PHF8 F279S clinical mutation associated with X-linked mental retardation, which has been experimentally shown to ablate PHF8-catalyzed demethylation. In agreement, the molecular dynamics (MD) and quantum mechanics/molecular mechanics (QM/MM) studies showed a change in the H3(1-14)K9me2 substrate orientation and an increased HAT barrier. We systematically analyzed the pathways by which the identified SCS and LR residues may influence HAT by exploring changes in H3K9me2 substrate orientation, interdomain correlated motions, HAT transition state stabilization, reaction energetics, electron transfer mechanism, and alterations in the intrinsic electric field of PHF8. Importantly, SCS and LR variations decrease key motions of alpha 9-alpha 12 of the JmjC domain toward the Fe(IV)-center that are associated with tighter binding of the H3(1-14)K9me2 substrate. SCS and LR residues alter the intrinsic electric field of the enzyme along the reaction coordinate and change the individual energetic contributions of residues toward TS stabilization. The overall results suggest that DCCA can indeed identify non-active-site residues relevant for catalysis. The substitutions of such dynamically correlated residues might be used as a tool to tune HAT in non-heme Fe(II)-and 2OG-dependent enzymes.

Automated summary

This study develops a computational framework to identify non-active-site residues relevant for catalysis in Fe(II)-dependent oxygenases. The study explores the mechanisms by which these residues influence the HAT reaction and demonstrates the plausibility of using substitutions of dynamically correlated residues as a tool to tune HAT in non-heme Fe(II)-and 2OG-dependent enzymes.