The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
How Protein Stability and New Functions Trade Off
Open accessAbstract
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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Citations
Cites
The FoldX web server: an online force field
Schymkowitz, J., Borg, J., Stricher, F., Nys, R., Rousseau, F., & Serrano, L. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki387 · Cited by 2,759 · cited 2×
“The DDG Distributions The stability effects of mutations (DDG) were computed with the protein design software FoldX, whose force-field is based on empirical energy terms correlated with experimental DDG measurements [38,39].”
MethodSelf-citationGuerois, R., Nielsen, J. E., & Serrano, L. (2002) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)00442-4 · Cited by 1,728
Self-citationRobustness–epistasis link shapes the fitness landscape of a randomly drifting protein
Bershtein, S., Segal, M., Bekerman, R., Tokuriki, N., & Tawfik, D. S. (2006) · Nature · doi:10.1038/nature05385 · Cited by 414 · cited 2×
“This is manifested in the nonadditive, or negative, epistatic effects of mutations on protein fitness—despite their DDG effects being largely additive [46].”
BackgroundSelf-citationAssessing the Impact of Secondary Structure and Solvent Accessibility on Protein Evolution
Goldman, N., Thorne, J. L., & Jones, D. T. (1998) · Genetics · doi:10.1093/genetics/149.1.445 · Cited by 281
Cited by
Starr, T. N., Greaney, A. J., Hilton, S. K., Ellis, D., Crawford, K. H. D., Dingens, A. S., Navarro, M. J., Bowen, J. E., Tortorici, M. A., Walls, A. C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.012 · Cited by 1,956
Enzyme promiscuity: A mechanistic and evolutionary perspective
Tawfik, O. K. A. D. S. (2010) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-030409-143718 · Cited by 1,355
Protein Dynamism and Evolvability
Tokuriki, N., & Tawfik, D. S. (2009) · Science · doi:10.1126/science.1169375 · Cited by 940
Self-citationStrategies for Stabilization of Enzymes in Organic Solvents
Stepankova, V., Bidmanova, S., Koudelakova, T., Prokop, Z., Chaloupkova, R., & Damborsky, J. (2013) · ACS Catalysis · doi:10.1021/cs400684x · Cited by 659
A Comprehensive Biophysical Description of Pairwise Epistasis throughout an Entire Protein Domain
Olson, C. A., Wu, N. C., & Sun, R. (2014) · Current Biology · doi:10.1016/j.cub.2014.09.072 · Cited by 408
Metadata
- Authors
- Tokuriki, N., Stricher, F., Serrano, L., & Tawfik, D. S.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-02-29
- Volume
- 4
- Issue
- 2
- Pages
- e1000002
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2003890287
- Cited by
- 580
- References
- 4
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- gold
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