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Creating Two-Dimensional Patterned Substrates for Protein and Cell Confinement
Published on: September 6, 2011
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Dynamics of Disordered Proteins under Confinement: Memory Effects and Internal Friction
Atanu Das1, Dmitrii E Makarov1,2
1Department of Chemistry , University of Texas at Austin , Austin , Texas 78712 , United States.
The Journal of Physical Chemistry. B
|August 11, 2018
Summary
Protein dynamics are crucial for cellular function. Confinement alters protein dynamics by increasing reconfiguration times and broadening relaxation timescales, impacting diffusion models.
Area of Science:
- Biophysics
- Computational Biology
- Protein Dynamics
Background:
- Many proteins function as intrinsically disordered proteins (IDPs) under physiological conditions.
- Protein dynamics, including target search and folding upon binding, are critical for function.
- The nature of internal friction in unfolded proteins remains a subject of debate.
Purpose of the Study:
- To investigate the effects of confinement on the dynamics and internal friction of disordered peptides.
- To understand how induced compactness influences protein reconfiguration timescales and relaxation spectra.
Main Methods:
- Systematic atomistic molecular simulations of disordered peptides under varying degrees of confinement.
- Analysis of peptide reconfiguration timescales and relaxation time distributions.
Main Results:
- Confinement leads to an exponential increase in average peptide reconfiguration timescales as spatial dimensions decrease.
- Confinement broadens the spectrum of relaxation timescales, introducing long-tailed distributions.
- The observed dynamics deviate from predictions of standard Rouse and Zimm models.
Conclusions:
- Confinement significantly alters protein dynamics, increasing reconfiguration times and broadening relaxation spectra.
- The broadening of relaxation times necessitates more general models beyond standard Rouse/Zimm models for protein dynamics.
- Anomalous diffusion effects in intramolecular distances should be considered when interpreting experimental data.
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