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This study introduces a novel computational method combining implicit and explicit solvent models for accurate pKa calculations and protonation dynamics. This approach enhances understanding of biological energy transduction processes.

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Biophysics

Background:

  • Accurate pKa values and protonation-coupled dynamics are crucial for understanding biological energy transduction.
  • Existing computational methods face limitations in accurately capturing these phenomena.

Purpose of the Study:

  • To develop a new computational technique for precise pKa determination and analysis of protonation-coupled conformational dynamics.
  • To improve the accuracy and efficiency of molecular dynamics simulations for biological systems.

Main Methods:

  • Embedding continuous constant pH molecular dynamics within an explicit-solvent representation.
  • Utilizing the generalized-Born (GB) model for solvation free energy estimation.
  • Employing a pH-based replica exchange scheme for enhanced sampling.

Main Results:

  • Achieved an average absolute deviation of 0.53 and RMSD of 0.74 from experimental data for five benchmark proteins.
  • Demonstrated increased accuracy compared to GB-only methods by preserving native structure and improving conformational flexibility description.
  • Successfully modeled solvent-mediated ion-pair interactions.

Conclusions:

  • The new technique provides a practical tool for capturing ionization equilibria and conformational dynamics.
  • Offers an intimate view of ionization-coupled dynamics, complementing experimental techniques.
  • Enhances the accuracy of molecular simulations for biological processes.