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How Protein Stability and New Functions Trade Off

Overview of attention for article published in PLoS Computational Biology, February 2008
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Title
How Protein Stability and New Functions Trade Off
Published in
PLoS Computational Biology, February 2008
DOI 10.1371/journal.pcbi.1000002
Pubmed ID
Authors

Nobuhiko Tokuriki, Francois Stricher, Luis Serrano, Dan S. Tawfik

Abstract

Numerous studies have noted that the evolution of new enzymatic specificities is accompanied by loss of the protein's thermodynamic stability (DeltaDeltaG), thus suggesting a tradeoff between the acquisition of new enzymatic functions and stability. However, since most mutations are destabilizing (DeltaDeltaG>0), one should ask how destabilizing mutations that confer new or altered enzymatic functions relative to all other mutations are. We applied DeltaDeltaG computations by FoldX to analyze the effects of 548 mutations that arose from the directed evolution of 22 different enzymes. The stability effects, location, and type of function-altering mutations were compared to DeltaDeltaG changes arising from all possible point mutations in the same enzymes. We found that mutations that modulate enzymatic functions are mostly destabilizing (average DeltaDeltaG = +0.9 kcal/mol), and are almost as destabilizing as the "average" mutation in these enzymes (+1.3 kcal/mol). Although their stability effects are not as dramatic as in key catalytic residues, mutations that modify the substrate binding pockets, and thus mediate new enzymatic specificities, place a larger stability burden than surface mutations that underline neutral, non-adaptive evolutionary changes. How are the destabilizing effects of functional mutations balanced to enable adaptation? Our analysis also indicated that many mutations that appear in directed evolution variants with no obvious role in the new function exert stabilizing effects that may compensate for the destabilizing effects of the crucial function-altering mutations. Thus, the evolution of new enzymatic activities, both in nature and in the laboratory, is dependent on the compensatory, stabilizing effect of apparently "silent" mutations in regions of the protein that are irrelevant to its function.

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Geographical breakdown

Country Count As %
United States 14 2%
Germany 6 1%
United Kingdom 4 <1%
Argentina 4 <1%
India 4 <1%
Japan 3 <1%
Spain 3 <1%
Canada 3 <1%
France 2 <1%
Other 12 2%
Unknown 532 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 30%
Researcher 125 21%
Student > Bachelor 53 9%
Student > Master 50 9%
Professor > Associate Professor 35 6%
Other 87 15%
Unknown 60 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 228 39%
Biochemistry, Genetics and Molecular Biology 161 27%
Chemistry 41 7%
Computer Science 18 3%
Engineering 13 2%
Other 45 8%
Unknown 81 14%