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Properties and crystal structure of a beta-barrel folding mutant
I J Ropson1, B C Yowler, P M Dalessio
1Department of Biochemistry and Molecular Biology, Penn State University College of Medicine, Hershey, Pennsylvania 17033, USA.
Biophysical Journal
|February 29, 2000
Summary
A V60N mutation in rat intestinal fatty acid binding protein unexpectedly decreased protein stability. This study reveals faster folding and unfolding rates, suggesting entropic destabilization despite a predicted stabilizing hydrogen bond.
Area of Science:
- Biochemistry
- Structural Biology
- Protein Dynamics
Background:
- The rat intestinal fatty acid binding protein (IFABP) is a beta-barrel protein involved in lipid metabolism.
- Protein stability is crucial for function, and mutations can alter it in unpredictable ways.
- A V60N mutation was predicted to enhance IFABP stability via a novel hydrogen bond.
Purpose of the Study:
- To investigate the effect of the V60N mutation on the stability and folding kinetics of IFABP.
- To reconcile the predicted stability enhancement with experimental observations.
Main Methods:
- Equilibrium denaturation studies using Circular Dichroism (CD) and fluorescence spectroscopy.
- Kinetic analysis of protein unfolding and refolding.
- Structural analysis of the V60N mutant protein.
Main Results:
- The V60N mutant exhibited decreased stability compared to wild-type IFABP, contradicting initial predictions.
- Both mutant and wild-type proteins showed reversible, two-state folding transitions.
- The V60N mutant displayed significantly faster rates of denaturation and renaturation.
- Structural analysis revealed minimal changes, but differences in solvent accessible surface and crystallographic displacement factors suggested entropic destabilization.
Conclusions:
- The V60N mutation leads to entropic destabilization of IFABP, overriding the predicted enthalpic stabilization from the new hydrogen bond.
- Folding intermediates lack secondary structure, and the mutant exhibits complex folding kinetics with an additional slow folding phase.
- Experimental evidence contradicts computational prediction, highlighting the complexity of predicting protein stability changes.