LAPSE:2022.0115
Published Article
LAPSE:2022.0115
Protonation Dynamics in the K-Channel of Cytochrome c Oxidase Estimated from Molecular Dynamics Simulations
Vincent Stegmaier, Rene F. Gorriz, Petra Imhof
October 31, 2022
Proton transfer reactions are one of the most fundamental processes in biochemistry. We present a simplistic approach for estimating proton transfer probabilities in a membrane protein, cytochrome c oxidase. We combine short molecular dynamics simulations at discrete protonation states with a Monte Carlo approach to exchange between those states. Requesting for a proton transfer the existence of a hydrogen-bonded connection between the two source and target residues of the exchange, restricts the acceptance of transfers to only those in which a proton-relay is possible. Together with an analysis of the hydrogen-bonded connectivity in one of the proton-conducting channels of cytochrome c oxidase, this approach gives insight into the protonation dynamics of the hydrogen-bonded networks. The connectivity and directionality of the networks are coupled to the conformation of an important protein residue in the channel, K362, rendering proton transfer in the entire channel feasible in only one of the two major conformations. Proton transport in the channel can thus be regulated by K362 not only through its possible role as a proton carrier itself, but also by allowing or preventing proton transport via water residues.
Keywords
hydrogen-bonded network, proton transfer, replica exchange, sampling
Suggested Citation
Stegmaier V, Gorriz RF, Imhof P. Protonation Dynamics in the K-Channel of Cytochrome c Oxidase Estimated from Molecular Dynamics Simulations. (2022). LAPSE:2022.0115
Author Affiliations
Stegmaier V: Institute for Theoretical Physics, Freie Universtiät Berlin, Arnimallee 14, 14195 Berlin, Germany
Gorriz RF: Institute for Theoretical Physics, Freie Universtiät Berlin, Arnimallee 14, 14195 Berlin, Germany
Imhof P: Institute for Theoretical Physics, Freie Universtiät Berlin, Arnimallee 14, 14195 Berlin, Germany; Computer Chemistry Center, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen, Germany [ORCID]
Journal Name
Processes
Volume
9
Issue
2
First Page
265
Year
2021
Publication Date
2021-01-29
Published Version
ISSN
2227-9717
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Original Submission
Other Meta
PII: pr9020265, Publication Type: Journal Article
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LAPSE:2022.0115
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doi:10.3390/pr9020265
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Oct 31, 2022
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CC BY 4.0
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Oct 31, 2022
 
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Mina Naeini
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