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Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

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Cooperative Binding of Transcription Regulators02:13

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Corticospinal Excitability Modulation During Action Observation
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Published on: December 31, 2013

Cooperation enhanced by moderate tolerance ranges in myopically selective interactions.

Xiaojie Chen1, Long Wang

  • 1Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada. xchen@zoology.ubc.ca

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2009
PubMed
Summary

Moderate tolerance ranges promote cooperation in evolutionary games by enabling group selection. This study explores reputation dynamics and conditional interactions in scale-free networks.

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Area of Science:

  • Evolutionary Game Theory
  • Network Science
  • Computational Social Science

Background:

  • The Prisoner's Dilemma game is a fundamental model for studying cooperation and defection.
  • Scale-free networks exhibit unique topological properties influencing evolutionary dynamics.
  • Understanding cooperation in structured populations is crucial for various biological and social systems.

Purpose of the Study:

  • To investigate the evolutionary Prisoner's Dilemma on scale-free networks using a myopically selective interaction mode.
  • To analyze the impact of reputation-based tolerance ranges on the promotion of cooperation.
  • To explore the influence of reputation assessment rules and extended scenarios on cooperation evolution.

Main Methods:

  • Agent-based modeling of the evolutionary Prisoner's Dilemma game.
  • Implementation of a reputation-based tolerance range for selective interactions.
  • Analysis of reputation dynamics and their role in strategy adoption.
  • Simulation of extended scenarios including interaction stimulus and simultaneous strategy/reputation spread.

Main Results:

  • Moderate tolerance ranges significantly enhance cooperation through emergent group selection.
  • The weighting factor in reputation assessment influences the evolution of cooperation.
  • Cooperation can be promoted in extended scenarios with interaction payments and simultaneous trait diffusion.

Conclusions:

  • Myopic, reputation-based selective interaction is a viable mechanism for fostering cooperation in evolutionary games.
  • Network structure and individual interaction rules critically shape cooperative outcomes.
  • The findings offer insights into the evolution of cooperation in complex, graph-structured populations.