Enzyme Stability-Activity Trade-Off: New Insights from Protein Stability Weaknesses and Evolutionary Conservation.


Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
27 Jun 2023
Historique:
medline: 28 6 2023
pubmed: 5 6 2023
entrez: 5 6 2023
Statut: ppublish

Résumé

A general limitation of the use of enzymes in biotechnological processes under sometimes nonphysiological conditions is the complex interplay between two key quantities, enzyme activity and stability, where the increase of one is often associated with the decrease of the other. A precise stability-activity trade-off is necessary for the enzymes to be fully functional, but its weight in different protein regions and its dependence on environmental conditions is not yet elucidated. To advance this issue, we used the formalism that we have recently developed to effectively identify stability strength and weakness regions in protein structures and applied it to a large set of globular enzymes with known experimental structure and catalytic sites. Our analysis showed a striking oscillatory pattern of free energy compensation centered on the catalytic region. Indeed, catalytic residues are usually nonoptimal with respect to stability, but residues in the first shell around the catalytic site are, on the average, stability strengths and thus compensate for this lack of stability; residues in the second shell are weaker again, and so on. This trend is consistent across all enzyme families. It is accompanied by a similar, but less pronounced, pattern of residue conservation across evolution. In addition, we analyzed cold- and heat-adapted enzymes separately and highlighted different patterns of stability strengths and weaknesses, which provide insight into the longstanding problem of catalytic rate enhancement in cold environments. The successful comparison of our stability and conservation results with experimental fitness data, obtained by deep mutagenesis scanning, led us to propose criteria for improving catalytic activity while maintaining enzyme stability, a key goal in enzyme design.

Identifiants

pubmed: 37276063
doi: 10.1021/acs.jctc.3c00036
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3664-3671

Auteurs

Qingzhen Hou (Q)

Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China.
National Institute of Health Data Science of China, Shandong University, Jinan, Shandong 250002, China.

Marianne Rooman (M)

Computational Biology and Bioinformatics, Université Libre de Bruxelles, 1050 Brussels, Belgium.
Interuniversity Institute of Bioinformatics in Brussels, 1050 Brussels, Belgium.

Fabrizio Pucci (F)

Computational Biology and Bioinformatics, Université Libre de Bruxelles, 1050 Brussels, Belgium.
Interuniversity Institute of Bioinformatics in Brussels, 1050 Brussels, Belgium.

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Classifications MeSH