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Protein engineering is essential for altering the substrate scope, catalytic activity and selectivity of enzymes for applications in biocatalysis. However, traditional approaches, such as directed evolution and rational design, encounter the challenge in dealing with the experimental screening process of a large protein mutation space. Machine learning methods allow the approximation of protein fitness landscapes and the identification of catalytic patterns using limited experimental data, thus providing a new avenue to guide protein engineering campaigns. In this concept article, we review machine learning models that have been developed to assess enzyme-substrate-catalysis performance relationships aiming to improve enzymes through data-driven protein engineering. Furthermore, we prospect the future development of this field to provide additional strategies and tools for achieving desired activities and selectivities.
Abstract
The aldehyde tag is appropriate to selectively label proteins, prepare antibody‐drug conjugates or to immobilize enzymes or antibodies for biotechnological and medical applications. The cysteine within the consensus sequence CxPxR of the aldehyde tag is specifically oxidized by the formylglycine‐generating enzyme (FGE) to the non‐canonical and electrophilic amino acid Cα‐formylglycine (FGly). Subsequent reductive amination is a common method for site‐directed immobilization, which usually results in poor immobilization efficiency due to the reaction conditions. Here, we introduce a new solid support like agarose modified with an aryl substituted pyrazolone (Knoevenagel reagent) that was obtained in a facile and efficient 2‐step synthesis. The modified agarose allowed the site‐selective and efficient immobilization of aldehyde‐containing small molecules, peptides and proteins – in particular enzymes – at physiological pH (6.2–8.2) without any additive or catalyst needed. In comparison to reductive amination, higher loadings and activities were achieved in various buffers at different concentrations and temperatures.
Enzymatic evolution and the corresponding relationship to substrate scope and catalytic promiscuity were targeted in this thesis. As enzyme examples, pig liver esterase (PLE), oleate hydratases and linoleate isomerases, as well as epoxide hydrolases (EH) and haloalkane dehalogenases (HLD) were used. The substrate scope and the enantiopreference of PLE was analyzed by molecular modeling and substrate docking, since different enantiomeric excesses were detected for the conversion of malonate diethyl esters, depending on the PLE isoenzyme. Additionally, fatty acid converting enzymes with high identity were found and analyzed to comprehend the switch of both activities. Furthermore, the evolutionary connection between EH and HLD was investigated by interconversion studies to implement an HLD acitivity in an EH. By directed evolution and rational design, both possibilities of protein engineering were realized. Finally, a new methodology for targeted, continuous in vivo evolution was established by a temperature-dependent mutagenesis frequency.
Abstract
Methylation of free hydroxyl groups is an important modification for flavonoids. It not only greatly increases absorption and oral bioavailability of flavonoids, but also brings new biological activities. Flavonoid methylation is usually achieved by a specific group of plant O‐methyltransferases (OMTs) which typically exhibit high substrate specificity. Here we investigated the effect of several residues in the binding pocket of the Clarkia breweri isoeugenol OMT on the substrate scope and regioselectivity against flavonoids. The mutation T133M, identified as reported in our previous publication, increased the activity of the enzyme against several flavonoids, namely eriodictyol, naringenin, luteolin, quercetin and even the isoflavonoid genistein, while a reduced set of amino acids at positions 322 and 326 affected both, the activity and the regioselectivity of the methyltranferase. On the basis of this work, methylated flavonoids that are rare in nature were produced in high purity.
Chiral amines represent high-value fine chemicals serving as key intermediate products in pharmaceutical, chemical and agrochemical industries. In the past decades, application of amine transaminases (ATAs) for stereoselective amination of prochiral ketones emerged to an environmentally benign and economically attractive alternative to transition metal-catalyzed asymmetric synthesis to afford optically pure amines at industrial scale. However, the restricted substrate scope of wild-type transaminases prohibited the conversion of particularly sterically demanding substrates, making protein engineering indispensable. The following thesis covers elaboration of a novel assay for transaminases (Article I) and identification and development of transaminase variants in order to achieve biocatalytic preparation of a set of pharmaceutically relevant model amines, ideally in optically pure form for both stereoisomers, preferentially using asymmetric synthesis and most preferably using isopropylamine as cost-efficient amine donor co-substrate (Article II-IV). The aforementioned target amines and the corresponding precursor ketones (see Scheme 4.1) were conceived and provided by the company F. Hoffmann-La Roche to attain suitable biocatalysts for a variety of potential intermediates for active pharmaceutical ingredients. Protein engineering of the transaminase scaffolds investigated in this thesis comprised: Initial screening for suitable starting enzyme scaffolds, structure-guided rational design of these scaffolds to enable bulky planar substrate acceptance, elaboration of a sequence motif, verification of the motif and preparative-scale asymmetric synthesis reactions (Article II). For non-planar and structurally different target substrates, namely spatially bulky or bi-cyclic bridged substrates, the transaminase variants were specifically refined and a different evolutionary route had to be pursued (Article III and Article IV). These results (Article II) represent not only the first successful endeavor to engineer a PLP-fold type I amine transaminase (commonly denoted as (S)-selective) for the conversion of highly sterically demanding substrates, but also generally expanded the scope of available fold type I amine transaminases by enzymes having a novel and exceptionally broad substrate spectrum. Aside from structure-guided rational protein engineering, as well non-rational methods, such as site-specific saturation mutagenesis or directed evolution, were applied for protein-engineering. In order to do so for all of the target compounds, a novel high-throughput solid phase activity assay for transaminases that was actually developed during the master thesis, was refined and published (Article I). In the context of this thesis, the same assay principle was as well adapted for quantification of specific activities in liquid phase (Article III). A comparison of different methodologies for developing agar plate assays and a detailed step by step protocol of our transaminase assay are illustrated in a book chapter.
In this work, the regioselectivity of different Baeyer-Villiger monooxygenases (BVMOs) for the conversion of selected substrates was reversed or improved by protein engineering. These studies highlight the importance of substrate positioning for the regioselectivity and that the position of the substrate can be efficiently influenced by introducing proper mutations. It was shown that the beneficial mutations for all BVMOs were partly in corresponding positions. Additionally, the sulfoxidation activity and the stability of BVMOs were targeted and improved by applying protein engineering.
Amine transaminases (ATAs) are powerful biocatalysts for the stereoselective synthesis of chiral amines. However, wild-type ATAs usually show pH optima at slightly alkaline values and exhibit low catalytic activity under physiological conditions. For efficient asymmetric synthesis ATAs are commonly used in combination with lactate dehydrogenase (LDH, optimal pH: 7.5) and glucose dehydrogenase (GDH, optimal pH: 7.75) to shift the equilibrium towards the synthesis of the target chiral amine and hence their pH optima should fit to each other. Based on a protein structure alignment, variants of (R)-selective transaminases were rationally designed, produced in E. coli, purified and subjected to biochemical characterization. This resulted in the discovery of the variant E49Q of the ATA from Aspergillus fumigatus, for which the pH optimum was successfully shifted from pH 8.5 to 7.5 and this variant furthermore had a two times higher specific activity than the wild-type protein at pH 7.5. A possible mechanism for this shift of the optimal pH is proposed. Asymmetric synthesis of (R)-1-phenylethylamine from acetophenone in combination with LDH and GDH confirmed that the variant E49Q shows superior performance at pH 7.5 compared to the wild-type enzyme.