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    Directed Evolution of P450 BM3 towards Functionalization of Aromatic O-Heterocycles
    (Basel : Molecular Diversity Preservation International (MDPI), 2019) Santos, Gustavo de Almeida; Dhoke, Gaurao V.; Davari, Mehdi D.; Ruff, Anna Joƫlle; Schwaneberg, Ulrich
    The O-heterocycles, benzo-1,4-dioxane, phthalan, isochroman, 2,3-dihydrobenzofuran, benzofuran, and dibenzofuran are important building blocks with considerable medical application for the production of pharmaceuticals. Cytochrome P450 monooxygenase (P450) Bacillus megaterium 3 (BM3) wild type (WT) from Bacillus megaterium has low to no conversion of the six O-heterocycles. Screening of in-house libraries for active variants yielded P450 BM3 CM1 (R255P/P329H), which was subjected to directed evolution and site saturation mutagenesis of four positions. The latter led to the identification of position R255, which when introduced in the P450 BM3 WT, outperformed all other variants. The initial oxidation rate of nicotinamide adenine dinucleotide phosphate (NADPH) consumption increased ā‰ˆ140-fold (WT: 8.3 Ā± 1.3 mināˆ’1; R255L: 1168 Ā± 163 mināˆ’1), total turnover number (TTN) increased ā‰ˆ21-fold (WT: 40 Ā± 3; R255L: 860 Ā± 15), and coupling efficiency, ā‰ˆ2.9-fold (WT: 8.8 Ā± 0.1%; R255L: 25.7 Ā± 1.0%). Computational analysis showed that substitution R255L (distant from the heme-cofactor) does not have the salt bridge formed with D217 in WT, which introduces flexibility into the I-helix and leads to a heme rearrangement allowing for efficient hydroxylation.
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    Engineering robust cellulases for tailored lignocellulosic degradation cocktails
    (Basel : MDPI AG, 2020) Contreras, Francisca; Pramanik, Subrata; Rozhkova, Aleksandra M.; Zorov, Ivan N.; Korotkova, Olga; Sinitsyn, Arkady P.; Schwaneberg, Ulrich; Davari, Mehdi D.
    Lignocellulosic biomass is a most promising feedstock in the production of second-generation biofuels. Efficient degradation of lignocellulosic biomass requires a synergistic action of several cellulases and hemicellulases. Cellulases depolymerize cellulose, the main polymer of the lignocellulosic biomass, to its building blocks. The production of cellulase cocktails has been widely explored, however, there are still some main challenges that enzymes need to overcome in order to develop a sustainable production of bioethanol. The main challenges include low activity, product inhibition, and the need to perform fine-tuning of a cellulase cocktail for each type of biomass. Protein engineering and directed evolution are powerful technologies to improve enzyme properties such as increased activity, decreased product inhibition, increased thermal stability, improved performance in non-conventional media, and pH stability, which will lead to a production of more efficient cocktails. In this review, we focus on recent advances in cellulase cocktail production, its current challenges, protein engineering as an efficient strategy to engineer cellulases, and our view on future prospects in the generation of tailored cellulases for biofuel production. Ā© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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    Disulfide Bond Engineering of an Endoglucanase from Penicillium verruculosum to Improve Its Thermostability
    (Basel : Molecular Diversity Preservation International (MDPI), 2019) Bashirova, Anna; Pramanik, Subrata; Volkov, Pavel; Rozhkova, Aleksandra; Nemashkalov, Vitaly; Zorov, Ivan; Gusakov, Alexander; Sinitsyn, Arkady; Schwaneberg, Ulrich; Davari, Mehdi D.
    Endoglucanases (EGLs) are important components of multienzyme cocktails used in the production of a wide variety of fine and bulk chemicals from lignocellulosic feedstocks. However, a low thermostability and the loss of catalytic performance of EGLs at industrially required temperatures limit their commercial applications. A structure-based disulfide bond (DSB) engineering was carried out in order to improve the thermostability of EGLII from Penicillium verruculosum. Based on in silico prediction, two improved enzyme variants, S127C-A165C (DSB2) and Y171C-L201C (DSB3), were obtained. Both engineered enzymes displayed a 15ā€“21% increase in specific activity against carboxymethylcellulose and Ī²-glucan compared to the wild-type EGLII (EGLII-wt). After incubation at 70 Ā°C for 2 h, they retained 52ā€“58% of their activity, while EGLII-wt retained only 38% of its activity. At 80 Ā°C, the enzyme-engineered forms retained 15ā€“22% of their activity after 2 h, whereas EGLII-wt was completely inactivated after the same incubation time. Molecular dynamics simulations revealed that the introduced DSB rigidified a global structure of DSB2 and DSB3 variants, thus enhancing their thermostability. In conclusion, this work provides an insight into DSB protein engineering as a potential rational design strategy that might be applicable for improving the stability of other enzymes for industrial applications.
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    A hydroquinone-specific screening system for directed P450 evolution
    (Berlin ; Heidelberg ; New York : Springer, 2018) Weingartner, Alexandra M.; Sauer, Daniel F.; Dhoke, Gaurao V.; Davari, Mehdi D.; Ruff, Anna Joƫlle; Schwaneberg, Ulrich
    The direct hydroxylation of benzene to hydroquinone (HQ) under mild reaction conditions is a challenging task for chemical catalysts. Cytochrome P450 (CYP) monooxygenases are known to catalyze the oxidation of a variety of aromatic compounds with atmospheric dioxygen. Protein engineering campaigns led to the identification of novel P450 variants, which yielded improvements in respect to activity, specificity, and stability. An effective screening strategy is crucial for the identification of improved enzymes with desired characteristics in large mutant libraries. Here, we report a first screening system designed for screening of P450 variants capable to produce hydroquinones. The hydroquinone quantification assay is based on the interaction of 4-nitrophenylacetonitrile (NpCN) with hydroquinones under alkaline conditions. In the 96-well plate format, a low detection limit (5 Ī¼M) and a broad linear detection range (5 to 250 Ī¼M) were obtained. The NpCN assay can be used for the quantification of dihydroxylated aromatic compounds such as hydroquinones, catechols, and benzoquinones. We chose the hydroxylation of pseudocumene by P450 BM3 as a target reaction and screened for improved trimethylhydroquinone (TMHQ) formation. The new P450 BM3 variant AW2 (R47Q, Y51F, I401M, A330P) was identified by screening a saturation mutagenesis library of amino acid position A330 with the NpCN assay. In summary, a 70-fold improved TMHQ formation was achieved with P450 BM3 AW2 when compared to the wild type (WT) and a 1.8-fold improved TMHQ formation compared to the recently reported P450 BM3 M3 (R47S, Y51W, A330F, I401M). Ā© 2018, The Author(s).
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    Can constraint network analysis guide the identification phase of KnowVolution? A case study on improved thermostability of an endo-Ī²-glucanase
    (Gotenburg : Research Network of Computational and Structural Biotechnology (RNCSB), 2021) Contreras, Francisca; Nutschel, Christina; Beust, Laura; Davari, Mehdi D.; Gohlke, Holger; Schwaneberg, Ulrich
    Cellulases are industrially important enzymes, e.g., in the production of bioethanol, in pulp and paper industry, feedstock, and textile. Thermostability is often a prerequisite for high process stability and improving thermostability without affecting specific activities at lower temperatures is challenging and often time-consuming. Protein engineering strategies that combine experimental and computational are emerging in order to reduce experimental screening efforts and speed up enzyme engineering campaigns. Constraint Network Analysis (CNA) is a promising computational method that identifies beneficial positions in enzymes to improve thermostability. In this study, we compare CNA and directed evolution in the identification of beneficial positions in order to evaluate the potential of CNA in protein engineering campaigns (e.g., in the identification phase of KnowVolution). We engineered the industrially relevant endoglucanase EGLII from Penicillium verruculosum towards increased thermostability. From the CNA approach, six variants were obtained with an up to 2-fold improvement in thermostability. The overall experimental burden was reduced to 40% utilizing the CNA method in comparison to directed evolution. On a variant level, the success rate was similar for both strategies, with 0.27% and 0.18% improved variants in the epPCR and CNA-guided library, respectively. In essence, CNA is an effective method for identification of positions that improve thermostability.
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    Aqueous ionic liquids redistribute local enzyme stability via long-range perturbation pathways
    (Gotenburg : Research Network of Computational and Structural Biotechnology (RNCSB), 2021) El Harrar, Till; Frieg, Benedikt; Davari, Mehdi D.; Jaeger, Karl-Erich; Schwaneberg, Ulrich; Gohlke, Holger
    Ionic liquids (IL) and aqueous ionic liquids (aIL) are attractive (co-)solvents for biocatalysis due to their unique properties. On the other hand, the incubation of enzymes in IL or aIL often reduces enzyme activity. Recent studies proposed various aIL-induced effects to explain the reduction, classified as direct effects, e.g., local dehydration or competitive inhibition, and indirect effects, e.g., structural perturbations or disturbed catalytic site integrity. However, the molecular origin of indirect effects has largely remained elusive. Here we show by multi-Ī¼s long molecular dynamics simulations, free energy computations, and rigidity analyses that aIL favorably interact with specific residues of Bacillus subtilis Lipase A (BsLipA) and modify the local structural stability of this model enzyme by inducing long-range perturbations of noncovalent interactions. The perturbations percolate over neighboring residues and eventually affect the catalytic site and the buried protein core. Validation against a complete experimental site saturation mutagenesis library of BsLipA (3620 variants) reveals that the residues of the perturbation pathways are distinguished sequence positions where substitutions highly likely yield significantly improved residual activity. Our results demonstrate that identifying these perturbation pathways and specific IL ion-residue interactions there effectively predicts focused variant libraries with improved aIL tolerance.