The Effects of p-Azidophenylalanine Incorporation on Protein Structure and Stability
Joshua W Wilkerson1, Addison K Smith1, Kristen M Wilding1
1Department of Chemical Engineering, Brigham Young University, Provo, Utah 84602, United States.
Journal of Chemical Information and Modeling
|September 23, 2020
Summary
Molecular dynamics simulations can predict if substituting unnatural amino acids like p-azidophenylalanine (pAz) will harm protein stability. This computational approach aids protein engineering by reducing experimental trial-and-error.
Area of Science:
- Biochemistry
- Computational Biology
- Protein Engineering
Background:
- Protein functionalization is crucial for applications but often compromises protein stability and activity.
- Current methods for incorporating unnatural amino acids, like p-azidophenylalanine (pAz), lack predictive power for residue selection.
- Identifying suitable substitution sites a priori is a significant challenge in protein engineering.
Purpose of the Study:
- To investigate the utility of all-atom molecular dynamics (MD) simulations in predicting the impact of pAz substitution on protein stability.
- To establish MD simulations as a tool for guiding residue selection in protein engineering for unnatural amino acid incorporation.
Main Methods:
- Utilized all-atom molecular dynamics simulations to model protein structures with pAz substitutions.
- Analyzed local structural deviations from wild-type proteins resulting from pAz incorporation.
- Correlated simulation-based structural changes with experimentally determined protein stability.
Main Results:
- MD simulations accurately predicted whether pAz substitution would be detrimental to protein stability.
- Observed local structural deviations in simulations served as a reliable indicator of stability changes.
- The study demonstrated a strong correlation between simulated structural perturbations and experimental stability data.
Conclusions:
- All-atom MD simulations are a viable computational method for assessing the stability effects of pAz incorporation in proteins.
- MD simulations can serve as a predictive metric to guide residue selection, minimizing experimental efforts in protein engineering.
- This approach offers a pathway to more efficient discovery of functionalized proteins with desired properties.
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