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Updated: Jun 28, 2026
13:57
Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
Published on: February 18, 2014
Physical limits on computation by assemblies of allosteric proteins
1Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA. jmr@uab.edu
Physical Review Letters
|November 13, 2008
Summary
Biological protein assemblies act as information processors. This study reveals physical limits on their computation speed due to complexity and resetting, impacting signaling fidelity and deactivation rates.
Area of Science:
- Biophysics
- Computational Biology
- Biochemistry
Background:
- Allosteric protein assemblies are fundamental biological information processors.
- Understanding the physical constraints on biological computation is crucial.
Purpose of the Study:
- To investigate the physical limits on information processing by allosteric protein assemblies.
- To analyze the role of system complexity and resetting in Brownian computation.
Main Methods:
- Utilized the Ca2+-sensitive cardiac regulatory assembly as a model system.
- Examined the effects of nearest-neighbor-limited interactions on free energy landscapes.
- Analyzed degenerate transition probabilities in the system.
Main Results:
- Nearest-neighbor interactions constrain the free energy landscape topology.
- Degenerate transition probabilities limit simultaneous optimization of signaling fidelity and deactivation kinetics.
- An upper limit exists for information processing rates in these assemblies.
Conclusions:
- System complexity and resetting impose fundamental physical limitations on biological computation.
- The trade-off between signaling fidelity and deactivation kinetics restricts the speed of information processing.
- These findings have implications for understanding biological signaling and designing artificial systems.
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