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Calculating pH-dependent free energy of proteins by using Monte Carlo protonation probabilities of ionizable residues

Abstract

Protein folding, stability, and function are usually influenced by pH. And free energy plays a fundamental role in analysis of such pH-dependent properties. Electrostatics-based theoretical framework using dielectric solvent continuum model and solving Poisson-Boltzmann equation numerically has been shown to be very successful in understanding the pH-dependent properties. However, in this approach the exact computation of pH-dependent free energy becomes impractical for proteins possessing more than several tens of ionizable sites (e.g. > 30), because exact evaluation of the partition function requires a summation over a vast number of possible protonation microstates. Here we present a method which computes the free energy using the average energy and the protonation probabilities of ionizable sites obtained by the well-established Monte Carlo sampling procedure. The key feature is to calculate the entropy by using the protonation probabilities. We used this method to examine a well-studied protein (lysozyme) and produced results which agree very well with the exact calculations. Applications to the optimum pH of maximal stability of proteins and protein-DNA interactions have also resulted in good agreement with experimental data. These examples recommend our method for application to the elucidation of the pH-dependent properties of proteins.

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Correspondence to Qiang Huang.

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Huang, Q., Herrmann, A. Calculating pH-dependent free energy of proteins by using Monte Carlo protonation probabilities of ionizable residues. Protein Cell 3, 230–238 (2012). https://doi.org/10.1007/s13238-012-2035-4

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  • DOI: https://doi.org/10.1007/s13238-012-2035-4

Keywords

  • protein protonation
  • protein electrostatics
  • pH-dependent free energy
  • Poisson-Boltzmann equation
  • Monte Carlo simulation