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February 21, 2026Biophysical Journal0 citations

BPS2026 – Molecular dynamics study of binding free energy shift of protein complexes induced by single and double mutations

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KKKazutomo Kawaguchi

Key Points

  • To investigate how amino acid mutations affect binding free energy in protein complexes using molecular dynamics simulations.
  • Utilized molecular dynamics simulations combined with alchemical free energy calculations.
  • Analyzed binding free energy shifts in the Barnase-Barstar complex.
  • Included evaluations of 10 single mutants and three double mutants.
  • Binding free energy shifts closely aligned with experimental results except for two instances.
  • The method effectively predicts changes without requiring long-term simulations.
  • Only equilibrium sampling of the wild-type complex is needed, reducing computational time.

Abstract

Protein-protein and protein-ligand interactions promote or inhibit protein functions in living cells and play a key role in many biological processes, including signal transduction, enzyme regulation, and so on. Measurement of binding free energy is essential to quantitatively evaluate the strength of these interactions. In particular, changes in binding free energy induced by amino acid mutations alter the conformational stability of two protein molecules, potentially resulting in functional changes. Compared to protein-ligand binding, calculation of the binding free energy of protein-protein complexes is considerably more complex due to the diverse orientations, large conformational spaces, making the measurement and prediction of their binding free energy more challenging. In this study, we propose a simple procedure to calculate the binding free energy shifts in protein complexes induced by amino acid mutations. We applied this method to the Barnase-Barstar complex using molecular dynamics (MD) simulations combined with alchemical free energy calculations. Our calculation included 10 single mutants and three double mutants. The calculated binding free energy shifts were almost consistent with the experimental results, with the exception of two cases. We showed that our method is effective for predicting binding free energy changes when the amino acid mutations do not induce large-scale conformational changes in the protein complex. The main advantages of our procedure are as follows. (1) There is no need to perform long-time MD simulations for each mutant complex. (2) Only equilibrium sampling of the wild-type complex and monomers are required, significantly reducing computational costs. (3) The method is applicable not only to single or double mutations but also to multiple mutations through an appropriate thermodynamic cycle.

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Cite This Study

Kazutomo Kawaguchi (2026) studied this question.

synapsesocial.com/papers/69990de85b97ab4c14ac2a25https://doi.org/10.1016/j.bpj.2025.11.2078
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