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Stability and the evolvability of function in a model protein
Jesse D Bloom1, Claus O Wilke, Frances H Arnold
1Department of Chemistry, California Institute of Technology, Pasadena, California 91125, USA. bloom@caltech.edu
Biophysical Journal
|April 28, 2004
Summary
Relaxing protein stability requirements enhances functional evolution. Gradually increasing stability is more efficient for evolving high stability and function than constant selection.
Area of Science:
- Biochemistry
- Evolutionary Biology
- Computational Biology
Background:
- Proteins require a minimum stability to perform biochemical tasks.
- Understanding the relationship between protein stability and functional evolution is crucial.
Purpose of the Study:
- To investigate how stability requirements influence the evolution of protein function, specifically ligand binding.
- To explore the dynamics of evolving both stability and function.
Main Methods:
- Utilized a simple computational model to simulate protein evolution.
- Varied stability requirements and selection pressures to observe effects on function evolution.
Main Results:
- Proteins evolved function more efficiently when stability requirements were relaxed.
- Gradual increases in stability were more effective for evolving high stability and function compared to constant high selection.
- Marginally stable structures facilitate the exploration of new functions.
Conclusions:
- Protein functional evolution is enhanced by exploring marginally stable sequences.
- Improving stability while maintaining function is easier than improving function while maintaining stability.
- Stability requirements, even without a direct tradeoff, can limit the speed of functional evolution.