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Calculated pKa Variations Expose Dynamic Allosteric Communication Networks.

Eric J M Lang, Logan C Heyes, Geoffrey B Jameson1

  • 1Institute of Fundamental Sciences, Massey University , PO Box 11-222, Palmerston North 4422, New Zealand.

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Summary
This summary is machine-generated.

We developed a new method to track protein pKa changes, revealing dynamic allosteric communication pathways. This approach identified key residues in enzyme regulation and was validated experimentally.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Protein Dynamics and Allostery

Background:

  • Allosteric regulation is crucial for metabolic pathways, but the mechanisms of signal transmission, especially in dynamic systems without major conformational changes, are poorly understood.
  • Identifying dynamic allosteric communication networks is essential for understanding enzyme regulation.

Purpose of the Study:

  • To develop and validate a novel approach for identifying dynamic allosteric communication networks by monitoring pKa variations of ionizable residues.
  • To investigate the subtle dynamic regulation mechanism of Neisseria meningitidis 3-deoxy-d-arabino-heptulosonate 7-phosphate synthase.

Main Methods:

  • Utilized molecular dynamics simulations to monitor pKa variations of ionizable residues in the presence and absence of an allosteric regulator.
  • Analyzed changes in Coulombic interactions, hydrogen bonding, solvation, and protein motions as indicators of allosteric signal transmission.
  • Applied the method to Neisseria meningitidis 3-deoxy-d-arabino-heptulosonate 7-phosphate synthase and validated findings through pH modulation and mutagenesis.

Main Results:

  • Successfully identified key communication pathways linking the allosteric binding site to the active site of the enzyme.
  • Demonstrated that pKa variations serve as a sensitive metric for changes induced by allosteric effectors, reflecting complex environmental and dynamic factors.
  • Experimentally validated the identified pathways by restoring catalytic activity through pH modulation without affecting allosteric regulator binding.

Conclusions:

  • The pKa variation monitoring method effectively reveals dynamic allosteric communication networks in proteins.
  • This approach provides testable predictions for the roles of ionizable residues in allosteric regulation.
  • Understanding these pathways is critical for deciphering enzyme function and metabolic control.