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Updated: Jun 25, 2026
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Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
Published on: July 17, 2019
Scaling and self-organized criticality in proteins I
1Department of Physics and Astronomy, Rutgers University, Piscataway, NJ 08854, USA. jcphillips8@comcast.net
Summary
Proteins can be understood through self-organized criticality (SOC). This study uses the Moret-Zebende (MZ) SOC hydrophobicity scale to analyze the PR65/A protein, revealing insights into protein structure and function.
Area of Science:
- Biophysics
- Structural Biology
- Computational Biology
Background:
- Proteins exhibit complex structures and functions.
- Self-organized criticality (SOC) offers a simplified model for complex systems.
- The HEAT superfamily, including PR65/A, are large-scale scaffold proteins.
Purpose of the Study:
- To apply the Moret-Zebende (MZ) SOC hydrophobicity scale to the PR65/A protein.
- To define and utilize hydrophobic plasticity for identifying protein structural elements.
- To explore the relationship between SOC hydrophobicity and conventional scales in protein functionality.
Main Methods:
- Application of the Moret-Zebende (MZ) SOC hydrophobicity scale.
- Analysis of the large-scale scaffold repeat protein PR65/A.
- Definition and use of hydrophobic plasticity for sequence analysis.
Main Results:
- The MZ scale simplifies protein complexity, treating them as examples of SOC.
- Hydrophobic plasticity successfully identified docking platforms and hinges from repeat sequences.
- Differences between MZ and conventional scales highlight long-range conformational forces.
Conclusions:
- Proteins, exemplified by PR65/A, can be effectively modeled using SOC principles.
- Hydrophobic plasticity is a valuable tool for predicting protein structural features from sequence.
- The MZ scale provides a novel perspective on protein functionality by capturing long-range interactions.
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