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Published October 2018 | Supplemental Material
Journal Article Open

Network analysis of a proposed exit pathway for protons to the P-side of cytochrome c oxidase

Abstract

Cytochrome c Oxidase (CcO) reduces O_2, the terminal electron acceptor, to water in the aerobic, respiratory electron transport chain. The energy released by O_2 reductions is stored by removing eight protons from the high pH, N-side, of the membrane with four used for chemistry in the active site and four pumped to the low pH, P-side. The proton transfers must occur along controllable proton pathways that prevent energy dissipating movement towards the N-side. The CcO N-side has well established D- and K-channels to deliver protons to the protein interior. The P-side has a buried core of hydrogen-bonded protonatable residues designated the Proton Loading Site cluster (PLS cluster) and many protonatable residues on the P-side surface, providing no obvious unique exit. Hydrogen bond pathways were identified in Molecular Dynamics (MD) trajectories of Rb. sphaeroidesCcO prepared in the P_R state with the heme a_3 propionate and Glu286 in different protonation states. Grand Canonical Monte Carlo sampling of water locations, polar proton positions and residue protonation states in trajectory snapshots identify a limited number of water mediated, proton paths from PLS cluster to the surface via a (P-exit) cluster of residues. Key P-exit residues include His93, Ser168, Thr100 and Asn96. The hydrogen bonds between PLS cluster and P-exit clusters are mediated by a water wire in a cavity centered near Thr100, whose hydration can be interrupted by a hydrophobic pair, Leu255B (near Cu_A) and Ile99. Connections between the D channel and PLS via Glu286 are controlled by a second, variably hydrated cavity.

Additional Information

© 2018 Elsevier B.V. Received 13 March 2018, Revised 11 May 2018, Accepted 16 May 2018, Available online 18 May 2018. We would like to thank Xuyu Zhu for modifications of MCCE and Shelagh Ferguson-Miller for very helpful discussions. Research funded by grant number MCB-1519640 from the National Science Foundation. M.R.G. also acknowledges infrastructure support from the National Institute on Minority Health and Health Disparities (Grant 8G12MD007603) from the National Institutes of Health. Q.C. acknowledges National Science Foundation for the grant number NSF-CHE-1664906. Computational resources from the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by NSF grant number OCI-1053575, are greatly appreciated.

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Created:
August 22, 2023
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October 18, 2023