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September 5, 2025Physical Biology

Active Gaussian Network Model: a non-equilibrium description of protein fluctuations and allosteric behavior

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Authors

GCGiulio CostantiniUniversity of Milano-BicoccaLCLorenzo CapriniHeinrich Heine University DüsseldorfUMUmberto Marini Bettolo MarconiUniversità di Camerino

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Overview

This analysis demonstrates how non-equilibrium conditions impact allostery in proteins, suggesting new insights into protein dynamics.

Key Points

  • Allostery is influenced by non-thermal fluctuations that affect communication between protein sites.
  • The study employs causal indicators like transfer entropy to map allosteric signal propagation in PDZ2.
  • Introducing a non-equilibrium model reveals complexities in protein dynamics that align with experimental findings.
  • Understanding deviations from thermal fluctuations is critical for comprehending allosteric regulation in proteins.

Cite This Study

Costantini et al. (2025) studied this question.

synapsesocial.com/papers/68bb3ee82b87ece8dc95703dhttps://doi.org/10.1088/1478-3975/ae0081
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Power of Protein Dynamics in Binding and Allostery2026
  2. 2Extending the Gaussian network model: integrating local, allosteric, and structural factors for improved residue-residue correlation analysis2025
  3. 3Dynamically driven correlations in elastic net models reveal sequence of events and causality in proteins2024
  4. 4Proteins as Dynamic Networks: Linking Sequence, Structure, Allostery, and Molecular Motion2026
  5. 5Proteins as Dynamic Networks: Linking Sequence, Structure, Allostery, and Molecular Motion2026