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Updated: Mar 16, 2026

Thermodynamics of Membrane Protein Folding Measured by Fluorescence Spectroscopy
Published on: April 28, 2011
Statistical Mechanical Model for pH-Induced Protein Folding: Application to Apomyoglobin.
Takuya Mizukami1, Yosuke Sakuma1, Kosuke Maki1
1Graduate School of Science, Nagoya University , Furo-cho, Chikusa, Nagoya, Aichi 464-8602, Japan.
A new statistical mechanical model quantifies pH-induced protein folding, revealing that protonation, specific binding, and Coulombic interactions drive the process. This model advances understanding of protein dynamics and stability across various pH conditions.
Area of Science:
- Biochemistry
- Physical Chemistry
- Protein Dynamics
Background:
- The pH dependence of protein folding and stability is crucial but lacks quantitative mechanistic models.
- Existing models (Monod-Wyman-Changeux, Linderstrøm-Lang) focus on specific structures or states, limiting analysis of overall folding kinetics.
- A gap exists in models that capture the complete kinetic events of pH-induced folding/unfolding independent of molecular species properties.
Purpose of the Study:
- To develop and apply a novel statistical mechanical model for quantitatively analyzing pH-induced protein folding mechanisms.
- To investigate the folding kinetics and intermediates of horse apomyoglobin across a wide pH range.
- To elucidate the roles of protonation, specific binding, and Coulombic interactions in protein folding.
Main Methods:
- Construction of a statistical mechanical model incorporating protonation mechanisms.
- Combined manual search and least-squares fitting procedures for model parameterization.
- Continuous- and stopped-flow fluorescence measurements of horse apomyoglobin folding kinetics (40 μs to 100 s) at pH 2.2–6.7 and 8 °C.
- Analysis using a five-state sequential kinetic scheme.
Main Results:
- The model successfully quantifies pH-induced folding/unfolding, driven by specific binding and Coulombic interactions.
- Kinetic folding/unfolding intermediates were found to share mechanisms with the equilibrium intermediate, suggesting their equivalence.
- Progressive acquisition of native-like properties by intermediates and transition states during the folding process was observed.
Conclusions:
- The developed statistical mechanical model provides a quantitative framework for understanding pH-modulated protein folding.
- The findings highlight the interplay of protonation, specific binding, and electrostatic forces in governing protein conformational changes.
- The model's applicability extends beyond protein folding to other association/dissociation processes.
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