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Published on: October 10, 2018
Method for estimating the internal permittivity of proteins using dielectric spectroscopy
Brett L Mellor1, Efrén Cruz Cortés, David D Busath
1Department of Electrical and Computer Engineering, Brigham Young University, Provo, Utah, USA. brettmellor@byu.edu
This study estimates the internal dielectric constant of proteins by comparing measured and simulated charge moments. A novel method using dielectric spectroscopy and molecular dynamics simulations on beta-lactoglobulin suggests a core dielectric constant of 6-7.
Area of Science:
- Biophysics
- Protein Chemistry
- Computational Biology
Background:
- Protein charge distribution is crucial for function and is influenced by the low-permittivity hydrophobic core.
- Accurate estimation of the internal dielectric constant is essential for understanding protein electrostatics.
Purpose of the Study:
- To develop and validate a novel method for estimating the dielectric constant of a protein's hydrophobic core.
- To determine the core dielectric constant of the protein beta-lactoglobulin.
Main Methods:
- Dielectric spectroscopy was used to measure the protein's dipole moment as a function of pH.
- Poisson-Boltzmann calculations and CHARMM molecular dynamics simulations were employed to predict pKa shifts and refine protein structures.
- A root-mean-square residual minimization approach compared measured and simulated charge moments to estimate internal permittivity.
Main Results:
- The study successfully compared measured and simulated charge moments to estimate protein internal permittivity.
- For beta-lactoglobulin, the hydrophobic core dielectric constant was estimated to be in the range of 6-7.
- This range indicates a significantly lower dielectric constant in the protein core compared to the surrounding solvent.
Conclusions:
- The developed method provides a reliable approach to quantify the dielectric properties of protein hydrophobic cores.
- The estimated dielectric constant of 6-7 for beta-lactoglobulin's core highlights the importance of internal protein structure in modulating electrostatic interactions.
- This finding has implications for protein folding, stability, and molecular recognition.
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