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Impact of the access tunnel engineering on catalysis is strictly ligand-specific
S. Kaushik, SM. Marques, P. Khirsariya, K. Paruch, L. Libichova, J. Brezovsky, Z. Prokop, R. Chaloupkova, J. Damborsky,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2005 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2005-01-01 do Před 1 rokem
Wiley Free Content
od 2005 do Před 1 rokem
PubMed
29478278
DOI
10.1111/febs.14418
Knihovny.cz E-zdroje
- MeSH
- alkany chemie metabolismus MeSH
- biokatalýza MeSH
- halogenované uhlovodíky chemie metabolismus MeSH
- hydrolasy chemie genetika metabolismus MeSH
- katalytická doména genetika MeSH
- kinetika MeSH
- ligandy MeSH
- molekulární struktura MeSH
- mutageneze cílená metody MeSH
- proteinové domény MeSH
- proteinové inženýrství metody MeSH
- simulace molekulární dynamiky MeSH
- substrátová specifita MeSH
- vazba proteinů MeSH
- vazebná místa genetika MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
The traditional way of rationally engineering enzymes to change their biocatalytic properties utilizes the modifications of their active sites. Another emerging approach is the engineering of structural features involved in the exchange of ligands between buried active sites and the surrounding solvent. However, surprisingly little is known about the effects of mutations that alter the access tunnels on the enzymes' catalytic properties, and how these tunnels should be redesigned to allow fast passage of cognate substrates and products. Thus, we have systematically studied the effects of single-point mutations in a tunnel-lining residue of a haloalkane dehalogenase on the binding kinetics and catalytic conversion of both linear and branched haloalkanes. The hotspot residue Y176 was identified using computer simulations and randomized through saturation mutagenesis, and the resulting variants were screened for shifts in binding rates. Strikingly, opposite effects of the substituted residues on the catalytic efficiency toward linear and branched substrates were observed, which was found to be due to substrate-specific requirements in the critical steps of the respective catalytic cycles. We conclude that not only the catalytic sites, but also the access pathways must be tailored specifically for each individual ligand, which is a new paradigm in protein engineering and de novo protein design. A rational approach is proposed here to address more effectively the task of designing ligand-specific tunnels using computational tools.
Citace poskytuje Crossref.org
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- $a The traditional way of rationally engineering enzymes to change their biocatalytic properties utilizes the modifications of their active sites. Another emerging approach is the engineering of structural features involved in the exchange of ligands between buried active sites and the surrounding solvent. However, surprisingly little is known about the effects of mutations that alter the access tunnels on the enzymes' catalytic properties, and how these tunnels should be redesigned to allow fast passage of cognate substrates and products. Thus, we have systematically studied the effects of single-point mutations in a tunnel-lining residue of a haloalkane dehalogenase on the binding kinetics and catalytic conversion of both linear and branched haloalkanes. The hotspot residue Y176 was identified using computer simulations and randomized through saturation mutagenesis, and the resulting variants were screened for shifts in binding rates. Strikingly, opposite effects of the substituted residues on the catalytic efficiency toward linear and branched substrates were observed, which was found to be due to substrate-specific requirements in the critical steps of the respective catalytic cycles. We conclude that not only the catalytic sites, but also the access pathways must be tailored specifically for each individual ligand, which is a new paradigm in protein engineering and de novo protein design. A rational approach is proposed here to address more effectively the task of designing ligand-specific tunnels using computational tools.
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