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Now showing 1 - 6 of 6
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    Can constraint network analysis guide the identification phase of KnowVolution? A case study on improved thermostability of an endo-β-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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    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. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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    Display of functional nucleic acid polymerase on Escherichia coli surface and its application in directed polymerase evolution
    (New York, NY : Wiley, 2020) Chung, Mu-En; Goroncy, Kati; Kolesnikova, Alisa; Schönauer, David; Schwaneberg, Ulrich
    We report a first of its kind functional cell surface display of nucleic acid polymerase and its directed evolution to efficiently incorporate 2′-O-methyl nucleotide triphosphates (2′-OMe-NTPs). In the development of polymerase cell surface display, two autotransporter proteins (Escherichia coli adhesin involved in diffuse adherence and Pseudomonas aeruginosa esterase A [EstA]) were employed to transport and anchor the 68-kDa Klenow fragment (KF) of E. coli DNA polymerase I on the surface of E. coli. The localization and function of the displayed KF were verified by analysis of cell outer membrane fractions, immunostaining, and fluorometric detection of synthesized DNA products. The EstA cell surface display system was applied to evolve KF for the incorporation of 2′-OMe-NTPs and a KF variant with a 50.7-fold increased ability to successively incorporate 2′-OMe-NTPs was discovered. Expanding the scope of cell-surface displayable proteins to the realm of polymerases provides a novel screening tool for tailoring polymerases to diverse application demands in a polymerase chain reaction and sequencing-based biotechnological and medical applications. Especially, cell surface display enables novel polymerase screening strategies in which the heat-lysis step is bypassed and thus allows the screening of mesophilic polymerases with broad application potentials ranging from diagnostics and DNA sequencing to replication of synthetic genetic polymers. © 2020 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC
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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-μs 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.
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    Unraveling the Mechanism and Kinetics of Binding of an LCI-eGFP-Polymer for Antifouling Coatings
    (Weinheim : Wiley-VCH, 2021) Söder, Dominik; Garay-Sarmiento, Manuela; Rahimi, Khosrow; Obstals, Fabian; Dedisch, Sarah; Haraszti, Tamás; Davari, Mehdi D.; Jakob, Felix; Heß, Christoph; Schwaneberg, Ulrich; Rodriguez-Emmenegger, Cesar
    The ability of proteins to adsorb irreversibly onto surfaces opens new possibilities to functionalize biological interfaces. Herein, the mechanism and kinetics of adsorption of protein-polymer macromolecules with the ability to equip surfaces with antifouling properties are investigated. These macromolecules consist of the liquid chromatography peak I peptide from which antifouling polymer brushes are grafted using single electron transfer-living radical polymerization. Surface plasmon resonance spectroscopy reveals an adsorption mechanism that follows a Langmuir-type of binding with a strong binding affinity to gold. X-ray reflectivity supports this by proving that the binding occurs exclusively by the peptide. However, the lateral organization at the surface is directed by the cylindrical eGFP. The antifouling functionality of the unimolecular coatings is confirmed by contact with blood plasma. All coatings reduce the fouling from blood plasma by 8894% with only minor effect of the degree of polymerization for the studied range (DP between 101 and 932). The excellent antifouling properties, combined with the ease of polymerization and the straightforward coating procedure make this a very promising antifouling concept for a multiplicity of applications.
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    Matter-tag: A universal immobilization platform for enzymes on polymers, metals, and silicon-based materials
    (New York, NY : Wiley, 2020) Dedisch, Sarah; Wiens, Annika; Davari, Mehdi D.; Söder, Dominik; Rodriguez-Emmenegger, Cesar; Jakob, Felix; Schwaneberg, Ulrich
    Enzyme immobilization is extensively studied to improve enzyme properties in catalysis and analytical applications. Here, we introduce a simple and versatile enzyme immobilization platform based on adhesion-promoting peptides, namely Matter-tags. Matter-tags immobilize enzymes in an oriented way as a dense monolayer. The immobilization platform was established with three adhesion-promoting peptides; Cecropin A (CecA), liquid chromatography peak I (LCI), and Tachystatin A2 (TA2), that were genetically fused to enhanced green fluorescent protein and to two industrially important enzymes: a phytase (from Yersinia mollaretii) and a cellulase (CelA2 from a metagenomic library). Here, we report a universal and simple Matter-tag–based immobilization platform for enzymes on various materials including polymers (polystyrene, polypropylene, and polyethylene terephthalate), metals (stainless steel and gold), and silicon-based materials (silicon wafer). The Matter-tag–based enzyme immobilization is performed at ambient temperature within minutes (<10 min) in an aqueous solution harboring the phytase or cellulase by immersing the targeted material. The peptide LCI was identified as universal adhesion promoter; LCI immobilized both enzymes on all investigated materials. The attachment of phytase-LCI onto gold was characterized with surface plasmon resonance spectroscopy obtaining a dissociation constant value (KD) of 2.9·10−8 M and a maximal surface coverage of 504 ng/cm². © 2019 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals, Inc.