Rational Engineering of Enzyme Allosteric Regulation through Sequence Evolution Analysis
Open accessAbstract
Control of enzyme allosteric regulation is required to drive metabolic flux toward desired levels. Although the three-dimensional (3D) structures of many enzyme-ligand complexes are available, it is still difficult to rationally engineer an allosterically regulatable enzyme without decreasing its catalytic activity. Here, we describe an effective strategy to deregulate the allosteric inhibition of enzymes based on the molecular evolution and physicochemical characteristics of allosteric ligand-binding sites. We found that allosteric sites are evolutionarily variable and comprised of more hydrophobic residues than catalytic sites. We applied our findings to design mutations in selected target residues that deregulate the allosteric activity of fructose-1,6-bisphosphatase (FBPase). Specifically, charged amino acids at less conserved positions were substituted with hydrophobic or neutral amino acids with similar sizes. The engineered proteins successfully diminished the allosteric inhibition of E. coli FBPase without affecting its catalytic efficiency. We expect that our method will aid the rational design of enzyme allosteric regulation strategies and facilitate the control of metabolic flux.
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Allosteric sites are diverse and confer better selectivity among homologous proteins, resulting in fewer side effects and greater value in clinical applications.
“Secondly, allosteric sites are diverse and confer better selectivity among homologous proteins, resulting in fewer side effects and greater value in clinical applications.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [245]
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- Authors
- Yang, J.-S., Seo, S. W., Jang, S., Jung, G. Y., & Kim, S.
- Affiliations
- Pohang University of Science and Technology (KR)
- Corresponding author
- Jung, Gyoo Yeol
- Kim, Sanguk
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-07-12
- Volume
- 8
- Issue
- 7
- Pages
- e1002612
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC3395594
- OpenAlex
- W2015807753
- Cited by
- 87
- References
- 49
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 8 · 2020: 5 · 2019: 8 · 2018: 3 · 2017: 4 · 2016: 11 · 2015: 8 · 2014: 9 · 2013: 2 · 2012: 1
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
- Funders
- National Research Foundation
- Ministry of Land, Transport and Maritime Affairs
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Enzyme Catalysis and Immobilization
- Keywords
- allosteric inhibition, fructose-1,6-bisphosphatase, site-directed mutagenesis, sequence evolution, hydrophobic residues, metabolic flux control, Escherichia coli, rational protein design, catalytic activity
- MeSH terms
- Adenosine Monophosphate, Allosteric Regulation, Amino Acid Sequence, Fructose-Bisphosphatase, Models, Molecular, Molecular Sequence Data, Mutation, Protein Engineering, Evolution, Molecular, Computational Biology, Glucose-6-Phosphate, Catalytic Domain, Sequence Analysis, Protein, Escherichia coli Proteins, Hydrophobic and Hydrophilic Interactions
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