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Mechanistic Insights into Dioxygen Transport Routes in the PHD2 Oxygenase from Long-Time Scale Simulations

Brian Wiley, Simone Furini, Carmen Domene

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding how dioxygen accesses buried catalytic centers in metalloenzymes is critical for elucidating enzymatic kinetics and guiding strategies to modulate catalytic activity. Here, we report over 20 μs of classical molecular dynamics simulations of the PHD2 oxygenase, a metalloenzyme regulating hypoxia signaling via HIF-1α hydroxylation. Our extended simulations reveal multiple dynamic dioxygen transport routes from solvent-exposed regions through the cupin fold to the metal active site, capturing transient interconverting channels and kinetic heterogeneity inaccessible to prior short-time scale studies. Dioxygen transport occurs on widely differing time scales, from rapid exchange (∼250 ps) to long residence times within internal hydrophobic cavities lasting hundreds of nanoseconds. These internal cavities act as dynamic reservoirs, modulating dioxygen availability and potentially contributing to the high Km and slow oxidative turnover by PHD2. Analysis of cavity-lining residues identifies hydrophobic positions that may be targeted to tune catalytic rates. Collectively, our results refine the mechanistic model of dioxygen access in PHD2 and demonstrate how high-resolution simulations can uncover functionally relevant kinetic landscapes, providing principles applicable to the design and regulation of molecular catalysts.

Original languageEnglish
Pages (from-to)1534-1545
Number of pages12
JournalBiochemistry
Volume65
Issue number9
Early online date23 Apr 2026
DOIs
Publication statusPublished - 5 May 2026

Acknowledgements

This project made use of computing time on U.K. Tier 2 JADE and Bede systems, and the Archer2 national facility, granted via the UK High-End Computing Consortium for Biomolecular Simulation, HECBioSim (http://hecbiosim.ac.uk), supported by EPSRC (grant no. EP/R029407/1 and EP/X035603/1). We acknowledge the support of the EuroHPC Joint Undertaking for providing computing resources and access to the LUMI supercomputer.

Funding

B.W. was supported by U.K. Research and Innovation (UKRI), grant reference number EP/S023437/1.

ASJC Scopus subject areas

  • Biochemistry

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