Literature DB >> 15111394

Stability and the evolvability of function in a model protein.

Jesse D Bloom1, Claus O Wilke, Frances H Arnold, Christoph Adami.   

Abstract

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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Year:  2004        PMID: 15111394      PMCID: PMC1304146          DOI: 10.1016/S0006-3495(04)74329-5

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  31 in total

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Journal:  Structure       Date:  1995-03-15       Impact factor: 5.006

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  39 in total

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Review 5.  Binding constraints on the evolution of enzymes and signalling proteins: the important role of negative pleiotropy.

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6.  Universal distribution of protein evolution rates as a consequence of protein folding physics.

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Journal:  J Biol Chem       Date:  2015-02-19       Impact factor: 5.157

8.  Fast, cheap and out of control--Insights into thermodynamic and informatic constraints on natural protein sequences from de novo protein design.

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9.  Evolving thermostability in mutant libraries of ligninolytic oxidoreductases expressed in yeast.

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