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Updated: May 16, 2026

Measuring Trans-Plasma Membrane Electron Transport by C2C12 Myotubes
Published on: May 4, 2018
Electron transfer interactome of cytochrome C
Alexander N Volkov1, Nico A J van Nuland
1Jean Jeener NMR Centre, Structural Biology Brussels, Vrije Universiteit Brussel, Belgium. ovolkov@vub.ac.be
This study predicts biological electron transfer (ET) properties in cytochrome c (Cc) complexes using protein structures. Results show protein dynamics, not electron tunneling, limit ET rates and can be diagnosed by functional epitope size.
Area of Science:
- Biochemistry
- Computational Biology
- Structural Biology
Background:
- Biological electron transfer (ET) is crucial for cellular processes like photosynthesis and respiration.
- Understanding ET complexes is vital for cellular signaling and metabolism, but their transient nature and binding promiscuity pose challenges.
- Eukaryotic cytochrome c (Cc) is a key electron carrier in mitochondrial respiration and other redox systems.
Purpose of the Study:
- To computationally predict electron transfer (ET) properties of cytochrome c (Cc) protein complexes.
- To map functional epitopes and assess ET rates based solely on protein steric properties.
- To investigate the influence of binding stoichiometry and protein dynamics on intermolecular ET.
Main Methods:
- Utilized a computational approach based on steric properties of individual proteins.
- Performed extensive conformational sampling to identify ET-competent binding geometries.
- Analyzed functional epitopes, ET rates, binding stoichiometries, and domain mobility effects.
Main Results:
- Identified that most ET-competent binding geometries are in electrostatically favorable regions.
- Demonstrated that ET can occur from multiple protein-protein orientations.
- Found protein dynamics, rather than electron tunneling, to be the rate-limiting step in intermolecular ET.
Conclusions:
- The size of the functional epitope correlates with protein dynamics in Cc complexes.
- Protein mobility can be diagnosed using functional epitope size.
- This computational method provides insights into the dynamic nature of electron transfer complexes.
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