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Stability and the Evolvability of Function in a Model Protein

Jesse D. Bloom ^* , Claus O. Wilke , Frances H. Arnold  and Christoph Adami  

^* Department of Chemistry, Digital Life Laboratory; Division of Chemistry and Chemical Engineering; and Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91125

Correspondence: Address reprint requests to Jesse D. Bloom, California Institute of Technology, 210-41, Pasadena, CA 91125. Tel.: 626-354-2565; Fax: 626-568-8743; E-mail: bloom{at}caltech.edu.

Functional proteins must fold with some minimal stability to a structure that can perform a biochemical task. Here we use a simple model to investigate the relationship between the stability requirement and the capacity of a protein to evolve the function of binding to a ligand. Although our model contains no built-in tradeoff between stability and function, proteins evolved function more efficiently when the stability requirement was relaxed. Proteins with both high stability and high function evolved more efficiently when the stability requirement was gradually increased than when there was constant selection for high stability. These results show that in our model, the evolution of function is enhanced by allowing proteins to explore sequences corresponding to marginally stable structures, and that it is easier to improve stability while maintaining high function than to improve function while maintaining high stability. Our model also demonstrates that even in the absence of a fundamental biophysical tradeoff between stability and function, the speed with which function can evolve is limited by the stability requirement imposed on the protein.

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