Gene_locus Report for: 9zzzz-a0a2k8jn75

Metal complexes introduced into protein scaffolds can generate versatile biomimetic catalysts endowed with a variety of catalytic properties. Here, we synthesized and covalently bound a bipyridinyl derivative to the active centre of an esterase to generate a biomimetic catalyst that shows catecholase activity and enantioselective catalytic oxidation of (+)-catechin.

Owing to their outstanding catalytic properties, enzymes represent powerful tools for carrying out a wide range of (bio)chemical transformations with high proficiency. In this context, enzymes with high biocatalytic promiscuity are somewhat neglected. Here, we demonstrate that a meticulous modification of a synthetic shell that surrounds an immobilized enzyme possessing broad substrate specificity allows the resulting nanobiocatalyst to be endowed with enantioselective properties while maintaining a high level of substrate promiscuity. Our results show that control of the enzyme nano-environment enables tuning of both substrate specificity and enantioselectivity. Further, we demonstrate that our strategy of enzyme supramolecular engineering allows the enzyme to be endowed with markedly enhanced stability in an organic solvent (i.e., acetonitrile). The versatility of the method was assessed with two additional substrate-promiscuous and structurally different enzymes, for which improvements in enantioselectivity and stability were confirmed. We expect this method to promote the use of supramolecularly engineered promiscuous enzymes in industrially relevant biocatalytic processes.

Esterases receive special attention because their wide distribution in biological systems and environments and their importance for physiology and chemical synthesis. The prediction of esterases substrate promiscuity level from sequence data and the molecular reasons why certain such enzymes are more promiscuous than others, remain to be elucidated. This limits the surveillance of the sequence space for esterases potentially leading to new versatile biocatalysts and new insights into their role in cellular function. Here we performed an extensive analysis of the substrate spectra of 145 phylogenetically and environmentally diverse microbial esterases, when tested with 96 diverse esters. We determined the primary factors shaping their substrate range by analyzing substrate range patterns in combination with structural analysis and protein-ligand simulations. We found a structural parameter that helps ranking (classifying) promiscuity level of esterases from sequence data at 94% accuracy. This parameter, the active site effective volume, exemplifies the topology of the catalytic environment by measuring the active site cavity volume corrected by the relative solvent accessible surface area (SASA) of the catalytic triad. Sequences encoding esterases with active site effective volumes (cavity volume/SASA) above a threshold show greater substrate spectra, which can be further extended in combination with phylogenetic data. This measure provides also a valuable tool for interrogating substrates capable of being converted. This measure, found to be transferred to phosphatases of the haloalkanoic acid dehalogenase superfamily and possibly other enzymatic systems, represents a powerful tool for low-cost bioprospecting for esterases with broad substrate ranges, in large scale sequence datasets.

Metal complexes introduced into protein scaffolds can generate versatile biomimetic catalysts endowed with a variety of catalytic properties. Here, we synthesized and covalently bound a bipyridinyl derivative to the active centre of an esterase to generate a biomimetic catalyst that shows catecholase activity and enantioselective catalytic oxidation of (+)-catechin.

Our understanding of enzymes with high substrate ambiguity remains limited because their large active sites allow substrate docking freedom to an extent that seems incompatible with stereospecificity. One possibility is that some of these enzymes evolved a set of evolutionarily fitted sequence positions that stringently allow switching substrate ambiguity and chiral specificity. To explore this hypothesis, we targeted for mutation a serine ester hydrolase (EH(3)) that exhibits an impressive 71-substrate repertoire but is not stereospecific (e.e. 50%). We used structural actions and the computational evolutionary trace method to explore specificity-swapping sequence positions and hypothesized that position I244 was critical. Driven by evolutionary action analysis, this position was substituted to leucine, which together with isoleucine appears to be the amino acid most commonly present in the closest homologous sequences (max. identity, ca. 67.1%), and to phenylalanine, which appears in distant homologues. While the I244L mutation did not have any functional consequences, the I244F mutation allowed the esterase to maintain a remarkable 53-substrate range while gaining stereospecificity properties (e.e. 99.99%). These data support the possibility that some enzymes evolve sequence positions that control the substrate scope and stereospecificity. Such residues, which can be evolutionarily screened, may serve as starting points for further designing substrate-ambiguous, yet chiral-specific, enzymes that are greatly appreciated in biotechnology and synthetic chemistry.

Owing to their outstanding catalytic properties, enzymes represent powerful tools for carrying out a wide range of (bio)chemical transformations with high proficiency. In this context, enzymes with high biocatalytic promiscuity are somewhat neglected. Here, we demonstrate that a meticulous modification of a synthetic shell that surrounds an immobilized enzyme possessing broad substrate specificity allows the resulting nanobiocatalyst to be endowed with enantioselective properties while maintaining a high level of substrate promiscuity. Our results show that control of the enzyme nano-environment enables tuning of both substrate specificity and enantioselectivity. Further, we demonstrate that our strategy of enzyme supramolecular engineering allows the enzyme to be endowed with markedly enhanced stability in an organic solvent (i.e., acetonitrile). The versatility of the method was assessed with two additional substrate-promiscuous and structurally different enzymes, for which improvements in enantioselectivity and stability were confirmed. We expect this method to promote the use of supramolecularly engineered promiscuous enzymes in industrially relevant biocatalytic processes.

Esterases receive special attention because their wide distribution in biological systems and environments and their importance for physiology and chemical synthesis. The prediction of esterases substrate promiscuity level from sequence data and the molecular reasons why certain such enzymes are more promiscuous than others, remain to be elucidated. This limits the surveillance of the sequence space for esterases potentially leading to new versatile biocatalysts and new insights into their role in cellular function. Here we performed an extensive analysis of the substrate spectra of 145 phylogenetically and environmentally diverse microbial esterases, when tested with 96 diverse esters. We determined the primary factors shaping their substrate range by analyzing substrate range patterns in combination with structural analysis and protein-ligand simulations. We found a structural parameter that helps ranking (classifying) promiscuity level of esterases from sequence data at 94% accuracy. This parameter, the active site effective volume, exemplifies the topology of the catalytic environment by measuring the active site cavity volume corrected by the relative solvent accessible surface area (SASA) of the catalytic triad. Sequences encoding esterases with active site effective volumes (cavity volume/SASA) above a threshold show greater substrate spectra, which can be further extended in combination with phylogenetic data. This measure provides also a valuable tool for interrogating substrates capable of being converted. This measure, found to be transferred to phosphatases of the haloalkanoic acid dehalogenase superfamily and possibly other enzymatic systems, represents a powerful tool for low-cost bioprospecting for esterases with broad substrate ranges, in large scale sequence datasets.