Published December 1, 2018
| Version v1
Journal article
The stochastic modeling of proton pumping in cytochrome c oxidase: the contribution of the K-channel
- 1. Institute of cytochemistry and molecular pharmacology, Moscow 115404 (Russian Federation)
- 2. Laboratoire de métabolisme énergétique cellulaire IBGC – CNRS and University of Bordeaux, Bordeaux (France)
Description
The influence of pH on the activity of cytochrome c oxidase is investigated using the stochastic modelling based on Markov processes. The functioning of the K-channel is considered on four different schemes. A change of channel modes can be observed under high values of pH: the fraction of K-protons transferred through the membrane increases significantly while D-proton flow disappears. Moreover, the pumping efficiency at high pH values rises more than twice under the circumstances when at the beginning of the pumping there are three or four protons in the binuclear center under pumping both D- and K-protons. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1141/1/012029Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1141
- Journal Issue
- 1
- Journal Page Range
- [4 p.]
- ISSN
- 1742-6596
Conference
- Title
- International Conference on Mathematical Modelling in Physical Sciences
- Dates
- 27-31 Oct 2018
- Place
- Moscow (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53035609
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTERIZED SIMULATION; CYTOCHROMES; EFFICIENCY; MARKOV PROCESS; MEMBRANES; OXIDASES; PH VALUE; PROTONS; PUMPING
- Descriptors DEC
- BARYONS; ELEMENTARY PARTICLES; ENZYMES; FERMIONS; HADRONS; NUCLEONS; ORGANIC COMPOUNDS; OXIDOREDUCTASES; PIGMENTS; PROTEINS; SIMULATION; STOCHASTIC PROCESSES