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November 1, 2025Physical BiologyOpen Access

Extending the Gaussian network model: integrating local, allosteric, and structural factors for improved residue-residue correlation analysis

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Authors

BEBurak Erman

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Overview

This work finds improved B-factor predictions in proteins using a modified Gaussian network model, suggesting better drug design outcomes.

Key Points

  • To enhance the Gaussian network model for better predictions of protein dynamics and residue interactions.
  • Develop an information-theoretic enhancement to the Gaussian network model.
  • Incorporate mutual information into the Kirchhoff matrix.
  • Utilize a Monte Carlo-driven maximum entropy approach for optimizing B-factor predictions.
  • Achieved 26%-46% reduction in RMSDs between predicted and experimental B-factors.
  • Enhanced predictions of mutual information and entropy perturbations in proteins like KRAS.
  • Improved accuracy in identifying allosteric communication pathways.

Cite This Study

Burak Erman (2025) studied this question.

synapsesocial.com/papers/69254362c0ce034ddc358256https://doi.org/10.1088/1478-3975/ae1dc1
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