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Related Experiment Videos

Identifiability, reducibility, and adaptability in allosteric macromolecules.

Gergő Bohner1, Gaurav Venkataraman1,2

  • 1Gatsby Computational Neuroscience Unit, University College London, London WC1E 6BT, England, UK.

The Journal of General Physiology
|April 19, 2017
PubMed
Summary
This summary is machine-generated.

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Allosteric macromolecules adapt by coordinating changes in biophysical parameters, maintaining function despite variations. This adaptability is demonstrated in hemoglobin

Area of Science:

  • Biophysics
  • Molecular Biology
  • Biochemistry

Background:

  • Allostery enables macromolecules to transmit signals across distant sites, crucial for cellular processes.
  • Understanding the link between biophysical parameters and macromolecular adaptability is key to cellular signaling.

Purpose of the Study:

  • To investigate the relationship between biophysical parameter sensitivity, interrelationships, and macromolecular adaptability.
  • To explore parameter non-identifiability in allosteric models and its implications for adaptation.

Main Methods:

  • Utilized a canonical model of the large-conductance Ca2+-activated K+ (BK) ion channel (mSlo).
  • Developed a reduced model with emergent, identifiable parameters derived from mechanistic parameters.
  • Analyzed parameter compensation in hemoglobin's Bohr effect.

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Main Results:

  • Found parameters for the mSlo BK channel model are non-identifiable with respect to the open probability-voltage relationship.
  • Identified emergent parameters representing combinations of mechanistic parameters that allow functional invariance.
  • Demonstrated that these parameter compensations are utilized in hemoglobin's Bohr effect.

Conclusions:

  • Coordinated changes in mechanistic parameters allow allosteric macromolecules to adapt while maintaining functional output.
  • The concept of emergent, identifiable parameters provides a framework for understanding macromolecular adaptability.
  • Experimental validation of parameter compensation in allosteric systems is feasible and reveals evolutionary strategies.