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Tertiary alcohols have become interesting targets for organic synthesis themselves or as building blocks for valuable pharmaceutical compounds. However, the synthesis of optically pure tertiary alcohols is still a challenge both chemical and enzymatic means. Enzymes containing the GGG(A)X motif in the active site region have been known to show activity towards these sterically demanding substrates. Several tertiary alcohols have been resolved with high enantioselectivity by using this biocatalytic synthetic route. This thesis aims at providing a better understanding of enantiorecognition of GGG(A)X motif hydrolases in the enzymatic synthesis of enantiomerically enriched tertiary alcohols. Kinetic resolution of a wide range of tertiary alcohols using hydrolases provided insights on factors that can influence enantioselectivity of GGG(A)X motif enzymes. Additionally, a newly proposed chemoenzymatic method to synthesize protected alpha,alpha-dialkyl-alpha-hydroxycarboxylic acids has broadened the application of these enzymes to synthesize optically pure tertiary alcohols. Newly found biocatalysts through functional screening, database mining and rational protein design approaches provided a better enzyme platform for optically pure tertiary alcohol resolution.
Gout was described by Hippocrates in the 5th century BC as a disease of rich people and linked with excess food and alcohol. It is caused by long-lasting hyperuricemia, which is a result of an imbalance between excretion and production of uric acid. The surplus of uric acid leads to deposition of monosodium urate crystals in the joints, which can initiate a painful inflammation called a gout attack. Despite various pharmacological treatments for this disease, a low purine diet remains the basis of all gout therapies. Since food is rich in purines, the aim of this project was to develop a novel enzyme system to decrease the purine content of food, what should result in reduced serum urate concentration in patients with hyperuricemia. The system consists of five degrading enzymes (adenine deaminase, guanine deaminase, xanthine oxidoreductase, urate oxidase and purine nucleoside phosphorylase) that combined in one product are able to hydrolyse all purines to a highly soluble allantoin, which can be easily removed from the body. This approach provides the patients a possibility to reduce the symptoms and frequency of gout attacks or even doses of prescribed drugs. In order to obtain necessary system components, yeast Arxula adeninivorans LS3 was screened for enzyme activities. A. adeninivorans is known to utilise various purines and this ability is a result of activity of desired enzymes, two of which, adenine deaminase and xanthine oxidoreductase, are in focus of this thesis. The analysis of growth of A. adeninivorans on various carbon and nitrogen sources gave the first insight into the cells’ nutrient preferences indicating the presence of purine degrading enzymes, such as adenine deaminase and xanthine oxidoreductase. Purines, such as adenine and hypoxanthine, could be utilised by this yeast as sole carbon and nitrogen sources and were shown to trigger the gene expression of the purine degradation pathway. Enzyme activity tests and quantitative real-time PCR method allowed for identification of the best inducers for adenine deaminase and xanthine oxidoreductase, as well as their concentration and time of induction. The adenine deaminase (AADA) and the xanthine oxidoreductase (AXOR) genes were isolated and subjected to homologous expression in A. adeninivorans cells using Xplor®2 transformation/expression platform. The selected transgenic strains accumulated the recombinant adenine deaminase in very high concentrations. The expression of AXOR gene posed difficulties and remained a challenge. Additional expression of both proteins in alternative E. coli system was undertaken but failed for AXOR gene. The recombinant adenine deaminase and wild-type xanthine oxidoreductase were purified and characterized biochemically. The characterization included determination of optimal pH and temperature, stability in different buffers and temperatures, molecular weight, substrate spectrum, enzyme activators and inhibitors, kinetics and intracellular localisation. The determination of these parameters was necessary to ensure optimal conditions for application of these enzymes in the industry. At the final stage, the enzymes were combined in one mix with provided guanine deaminase and urate oxidase and used to degrade purines in selected food constituents. The application was successful and demonstrated the potential of this approach for the production of food with lower purine concentration.
Within this thesis the protein engineering, immobilization and application of enzymes in organic synthesis were studied in order to enhance the productivity of diverse biotransformations. Article I is a review about Baeyer-Villiger monooxygenases (BVMO) and provides a detailed overview of the most recent advantages in the application of that enzyme class in biocatalysis. Protein engineering of a former uncharacterized polyol-dehydrogenase (PDH) identified in the mesothermophilic bacterium Deinococcus geothermalis 11300 is described in Article II. Article III covers the combination of one PDH mutant with a BVMO in a closed-loop cascade reaction, thus enabling direct oxidation of cyclohexanol to ε-caprolactone with an internal cofactor recycling of NADP(H). Article IV and Article V report a process optimization for transamination reactions due to a newly developed immobilization protocol for five (S)- and (R)-selective aminotransferases (ATA) on chitosan support. Furthermore, the immobilized ATAs were applied in asymmetric amine synthesis. In Article VI, an ATA immobilized on chitosan, an encapsulated BVMO whole cell catalyst and a commercially available immobilized lipase were applied in a traditional fixed-bed (FBR) or stirred-tank reactor (STR), and were compared to a novel reactor design (SpinChem, SCR) for heterogeneous biocatalysis.
Today the process of improving technology and software allows to create, save and explore massive data sets in little time. "Big Data" are everywhere such as in social networks, meteorology, customers’ behaviour – and in biology. The Omics research field, standing for the organism-wide data exploration and analysis, is an example of biological research that has to deal with "Big Data" challenges. Possible challenges are for instance effcient storage and cataloguing of the data sets and finally the qualitative analysis and exploration of the information. In the last decade largescale genome-wide association studies and high-throughput techniques became more effcient, more profitable and less expensive. As a consequence of this rapid development, it is easier to gather massive amounts of genomic and proteomic data. However, these data need to get evaluated, analysed and explored. Typical questions that arise in this context include: which genes are active under sever al physical states, which proteins and metabolites are available, which organisms or cell types are similar or different in their enzymes’or genes’ behaviour. For this reason and because a scientist of any "Big Data" research field wants to see the data, there is an increasing need of clear, intuitively understandable and recognizable visualization to explore the data and confirm thesis. One way to get an overview of the data sets is to cluster it. Taxonomic trees and functional classification schemes are hierarchical structures used by biologists to organize the available biological knowledge in a systematic and computer readable way (such as KEGG, GO and FUNCAT). For example, proteins and genes could be clustered according to their function in an organism. These hierarchies tend to be rather complex, and many comprise thousands of biological entities. One approach for a space-filling visualization of these hierarchical structured data sets is a treemap. Existing algorithms for producing treemaps struggle with large data sets and have several other problems. This thesis addresses some of these problems and is structured as follows. After a short review of the basic concepts from graph theory some commonly used types of treemaps and a classification of treemaps according to information visualization aspects is presented in the first chapter of this thesis. The second chapter of this thesis provides several methods to improve treemap constructions. In certain applications the researcher wants to know, how the entities in a hierarchical structure are related to each other (such as enzymes in a metabolic pathway). Therefore in the 3 third chapter of this thesis, the focus is on the construction of a suitable layout overlaying an existing treemap. This gives rise to optimization problems on geometric graphs. In addition, from a practical point of view, options for enhancing the display of the computed layout are explored to help the user perform typical tasks in this context more effciently. One important aspect of the problems on geometric graphs considered in the third chapter of the thesis is that crossings of edges in a network structure are to be minimized while certain other properties such as connectedness are maintained. Motivated by this, in the fourth chapter of this thesis, related combinatorial and computational problems are explored from a more theoretical point of view. In particular some light is shed on properties of crossing-free spanning trees in geometric graphs.
This thesis investigates the biocatalytic synthesis of amines and amino alcohols. The applicability and economic feasibility of biocatalysis for chiral amine synthesis is reviewed and the findings were compared to established chemical processes using relevant process parameters (TON, TOF and STY). This review clearly showcases the potential of biocatalysis for the synthesis of chiral amines and provides a valuable guide for synthetic chemists who want to benefit from these new opportunities. Next, biocatalysis is applied for the synthesis of an amino alcohol with two stereocentres: A novel route for the synthesis of all four stereoisomers of 4-amino-1-phenylpentane-2-ol is presented. Enzymes were applied to install both stereocentres successively, which allowed the selective synthesis with high yields and optical purities. A small scale preparative asymmetric transamination yielded one amino alcohol stereoisomer selectively. The approach presented in this thesis provides a valuable option for the synthesis of this compound class as it is highly selective, step efficient and circumvents the need for protecting groups as well as transition-metal catalysis. The substrate scope of an (S)-selective amine transaminase (ATA) was altered in order to expand the applicability for amino alcohol synthesis. Protein engineering was conducted to enlarge the small binding pocket. Small scale preparative synthesis of the 1,2-amino alcohol (R)-phenylglycinol exemplifies the applicability of the evolved variants for the asymmetric synthesis of this compound. The designed variants expand the collection of ATAs that are suitable for the synthesis of amino alcohols with bulkier substituents. To deepen the understanding of ATAs further, a class III TA family wide analysis (which includes (S)-selective ATAs) is presented. After comparing the active site architectures and performing literature research amino acids were identified that correlate with the reaction- and substrate specificity of the enzymes within this family. This information is compiled in a sequence-function matrix, which allows the prediction of the main activity of biochemically uncharacterised enzymes from their sequence. These insights provide a better understanding of the activity determining residues in (S)-ATAs and class III TAs in general.
This thesis is about the establishment and the application of novel methods and tools that are re-lated to the most widely used enzyme class: hydrolases. It covers all fields from the identification to the application of these valuable enzymes with particular focus on lactonases, acylases and proteases. The activity assay introduced in Article I substantially extends the method toolbox for studies on lactonases and acylases that interfere with the bacterial cell-cell communication system. Article II describes a fully automatized robotic platform that represents the next-level tool for the high-throughput enzyme screening in the microtiter plate format. It was used, for instance, for the screening for improved porcine aminoacylase I variants. Diverse aspects of the protease-mediated hydrolysis of non-resistant proteins for the purification of resistant target proteins are highlighted in Article III.
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.
In this work, the discovery, expression and characterization of new eukaryotic Baeyer-Villiger monooxygenases (BVMOs) from yeasts has been shown. A rational design of one of these enzymes led to the identification of key residues to alter the sulfoxidation activity of this group of enzymes. Additionally, in another rational design approach, the cofactor specificity of the BVMO cyclohexanone monooxygenase from Acinetobacter calcoaceticus could be substantially altered to accept the much cheaper and therefore industrially more relevant cofactor NADH.
Biocatalytic Production of Amino Carbohydrates through Oxidoreductase and Transaminase Cascades
(2019)
Plant-derived carbohydrates are an abundant renewable re- source. Transformation of carbohydrates into new products, in- cluding amine-functionalized building blocks for biomaterials applications, can lower reliance on fossil resources. Herein, bio- catalytic production routes to amino carbohydrates, including oligosaccharides, are demonstrated. In each case, two-step bio- catalysis was performed to functionalize d-galactose-contain- ing carbohydrates by employing the galactose oxidase from Fusarium graminearum or a pyranose dehydrogenase from
Agaricus bisporus followed by the w-transaminase from Chro- mobacterium violaceum (Cvi-w-TA). Formation of 6-amino-6- deoxy-d-galactose, 2-amino-2-deoxy-d-galactose, and 2-amino- 2-deoxy-6-aldo-d-galactose was confirmed by mass spectrome- try. The activity of Cvi-w-TA was highest towards 6-aldo-d-gal- actose, for which the highest yield of 6-amino-6-deoxy-d-galac- tose (67%) was achieved in reactions permitting simultaneous oxidation of d-galactose and transamination of the resulting 6- aldo-d-galactose.
Long-chain aliphatic amines such as (S,Z)-hepta- dec-9-en-7-amine and 9-aminoheptadecane were synthesized from ricinoleic acid and oleic acid, respectively, by whole-cell cascade reactions using the combination of an alcohol dehydrogenase (ADH) from Micrococcus luteus, an engi- neered amine transaminase from Vibrio fluvialis (Vf-ATA), and a photoactivated decarboxylase from Chlorella variabilis NC64A (Cv-FAP) in a one-pot process. In addition, long chain aliphatic esters such as 10-(heptanoyloxy)dec-8-ene and octyl- nonanoate were prepared from ricinoleic acid and oleic acid, respectively, by using the combination of the ADH, a Baeyer– Villiger monooxygenase variant from Pseudomonas putida KT2440, and the Cv-FAP. The target compounds were produced at rates of up to 37 U g1 dry cells with conversions up to 90 %. Therefore, this study contributes to the preparation of industrially relevant long-chain aliphatic chiral amines and esters from renewable fatty acid resources.