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Nature has provided a fantastic array of enzymes that are responsible for essential biochemical functions but not usually suitable for technological applications. Not content with the natural reper...

Gluconic acid (GA) and its alkali salts are extensively used in the food, feed, beverage, textile, pharmaceutical and construction industries. However, the cost-effective and eco-friendly production of GA remains a challenge. The biocatalytic process involving the conversion of glucose to GA is catalysed by glucose oxidase (GOD), in which the catalytic efficiency is highly dependent on the GOD stability. In this study, we used in silico design to enhance the stability of glucose oxidase from Aspergillus niger. A combination of the best mutations increased the apparent melting temperature by 8.5 °C and significantly enhanced thermostability and thermoactivation. The variant also showed an increased optimal temperature without compromising the catalytic activity at lower temperatures. Moreover, the combined variant showed higher tolerance at pH 6.0 and 7.0, at which the wild-type enzyme rapidly deactivated. For GA production, an approximate 2-fold higher GA production yield was obtained, in which an almost complete conversion of 324 g/L d-glucose to GA was achieved within 18 h. Collectively, this work provides novel and efficient approaches for improving GOD thermostability, and the obtained variant constructed by the computational strategy can be used as an efficient biocatalyst for GA production at industrially viable conditions.

Owing to the poor fragmentation efficiency caused by the lack of a positively charged basic group at the C-termini of peptides, the identification of nontryptic peptides in classical proteomics is known to be less efficient. Particularly, attaching positively charged basic groups to C-termini via chemical derivatizations is known to be able to enhance their fragmentation efficiency. In this study, we introduced a novel strategy, C-termini sequential amidation reaction (CSAR), to improve peptide fragmentation efficiency. By this strategy, C-terminal and side-chain carboxyl groups were firstly amidated by neutral methylamine (MA), and then C-terminal amide bonds were selectively deamidated through peptide amidase while side-chain amide bonds remained unchanged, followed by the secondary amidation of C-termini via basic agmatine (AG). We optimized the amidation reaction conditions to achieve the MA derivatization efficiency of >99% for side-chain carboxyl groups and AG derivatization efficiency of 80% for the hydrolytic C-termini. We applied CSAR strategy to identify bovine serum albumin (BSA) chymotryptic digests, resulting in the increased fragmentation efficiencies (improvement by 9-32%) and charge states (improvement by 39-52%) under single or multiple dissociation modes. The strategy described here might be a promising approach for the identification of peptides that suffered from poor fragmentation efficiency.

Xylanases, which cleave the β-1,4-glycosidic bond between xylose residues to release xylooligosaccharides (XOS), are widely used as food additives, animal feeds, and pulp bleaching agents. However, the thermally unstable nature of xylanases would hamper their industrial application. In this study, we used in silico design in a glycoside hydrolase family (GH) 11 xylanase to stabilize the enzyme. A combination of the best mutations increased the apparent melting temperature by 14 °C and significantly enhanced thermostability and thermoactivation. The variant also showed an upward-shifted optimal temperature for catalysis without compromising its activity at low temperatures. Moreover, a 10-fold higher XOS production yield was obtained at 70 °C, which compensated the low yield obtained with the wild-type enzyme. Collectively, the variant constructed by the computational strategy can be used as an efficient biocatalyst for XOS production at industrially viable conditions.

The properties of synthetic peptides, including potency, stability, and bioavailability, are strongly influenced by modification of the peptide chain termini. Unfortunately, generally applicable methods for selective and mild C-terminal peptide functionalization are lacking. In this work, we explored the peptide amidase from Stenotrophomonas maltophilia as a versatile catalyst for diverse carboxy-terminal peptide modification reactions. Because the scope of application of the enzyme is hampered by its mediocre stability, we used computational protein engineering supported by energy calculations and molecular dynamics simulations to discover a number of stabilizing mutations. Twelve mutations were combined to yield a highly thermostable (Delta T-m = 23 degrees C) and solvent-compatible enzyme. Protein crystallography and molecular dynamics simulations revealed the biophysical effects of mutations contributing to the enhanced robustness. The resulting enzyme catalyzed the selective C-terminal modification of synthetic peptides with small nucleophiles such as ammonia, methylamine, and hydroxylamine in various organic (co)solvents. The use of a nonaqueous environment allowed modification of peptide free acids with >85% product yield under thermodynamic control. On the basis of the crystal structure, further mutagenesis gave a biocatalyst that favors introduction of larger functional groups. Thus, the use of computational and rational protein design provided a tool for diverse enzymatic peptide modification.

Introduction of innovative biocatalytic processes offers great promise for applications in green chemistry. However, owing to limited catalytic performance, the enzymes harvested from nature's biodiversity often need to be improved for their desired functions by time-consuming iterative rounds of laboratory evolution. Here we describe the use of structure-based computational enzyme design to convert Bacillus sp. YM55-1 aspartase, an enzyme with a very narrow substrate scope, to a set of complementary hydroamination biocatalysts. The redesigned enzymes catalyze asymmetric addition of ammonia to substituted acrylates, affording enantiopure aliphatic, polar and aromatic β-amino acids that are valuable building blocks for the synthesis of pharmaceuticals and bioactive compounds. Without a requirement for further optimization by laboratory evolution, the redesigned enzymes exhibit substrate tolerance up to a concentration of 300 g/L, conversion up to 99%, β-regioselectivity >99% and product enantiomeric excess >99%. The results highlight the use of computational design to rapidly adapt an enzyme to industrially viable reactions.