Computational Prediction and Experimental Validation of Cytochrome C Oxidase Main-Chain Flexibility and Allosteric Regulation of the K-Pathway

Total Page:16

File Type:pdf, Size:1020Kb

Computational Prediction and Experimental Validation of Cytochrome C Oxidase Main-Chain Flexibility and Allosteric Regulation of the K-Pathway COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF CYTOCHROME C OXIDASE MAIN-CHAIN FLEXIBILITY AND ALLOSTERIC REGULATION OF THE K-PATHWAY By Leann Marie Buhrow A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Cell and Molecular Biology 2012 ABSTRACT COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF CYTOCHROME C OXIDASE MAIN-CHAIN FLEXIBILITY AND ALLOSTERIC REGULATION OF THE K-PATHWAY By Leann Marie Buhrow Comparison of crystallographic structures and deuterium accessibility of different redox states of cytochrome c oxidase (CcO) have suggested conformational changes of mechanistic significance. To predict the intrinsic flexibility and low energy motions in CcO, this work has analyzed available high-resolution crystallographic structures with ProFlex and elNémo computational methods. CcO is predicted to undergo rotational motions on the interior and exterior of the membrane, driven by transmembrane helical tilting and bending, coupled with rocking of the β-sheet domain. Consequently, the proton K-pathway becomes sufficiently flexible for internal water molecules to alternately occupy upper and lower parts of the pathway. At the entrance of the K-pathway, a conserved crystallographically-defined steroid binding site had been previously identified. Binding of diverse amphipathic molecules including detergents, fatty acids, steroids, and porphyrins affect the activity of the Rhodobacter sphaeroides CcO variant E101A, as well as the wild type and bovine enzymes. Detergent inhibition is observed for the E101A variant but may be overcome in the presence of micromolar concentrations of steroids and porphyrin analogs. Computational modeling of lauryl maltoside, bilirubin, and protoporphyrin IX into the conserved membrane site shows energetically favorable binding modes for these ligands and suggests that a groove at the interface of subunits I and II, including the entrance to the K-pathway, mediates competitive ligand interactions involving two overlapping sites. The high affinity and specificity of a number of compounds for this region, and its conservation and impact on CcO activity, support its physiological significance. Physiological ligands, specific for the steroid binding site, were identified by combining three computational approaches: ROCS comparison of ligand shape and electrostatics, SimSite3D analysis of similarity to ligand binding sites in the Protein Data Bank, and SLIDE screening of small molecules by docking. Together, the results suggest several steroids, adenine and guanine nucleotides, NAD+, FAD, and phosphorylated isoprenes as top candidates for interacting at this site, along with bile acids and porphyrins. In vitro oxygen consumption assays support some of these predicted interactions. In the wild type R. sphaeroides CcO, ATP and GDP are mildly inhibitory while the steroidal deoxycholate and fusidic acid ligands are highly inhibitory. Cytochrome c titration assays indicate nucleotides inhibit CcO activity in low cytochrome c conditions, similar to the observed ATP inhibition of mammalian CcO. These finding suggest that nucleotides regulate CcO on the conserved subunit I-III core, potentially at the steroid binding site. Overall this work predicts CcO conformational changes required for catalysis, including the conformational change of the K-pathway, and describes the first report of allosteric regulation of bacterial CcO by nucleotides. These results have been used to understand allosteric regulation by restricting conformational changes, generate a two-site model for lipid and ligand- specific regulation, and propose CcO regulation by arresting the enzyme in a state which cannot produce oxygen radical byproducts. Copyright by LEANN MARIE BUHROW 2012 ACKNOWLEDGEMENTS I would like to thank: • My co-advisors, Shelagh Ferguson-Miller and Leslie Kuhn, for their guidance, support, and direction in both research and life. • Past and present members of the Ferguson-Miller and Kuhn labs including Drs. Carrie Hiser, Jian Liu, Denise Mills, Ling Qin, Jon Hosler, Shujuan Xu, Namjoon Kim, Xi Zhang, and Jeff Van Voost and Fei Li, Matt Tonero, and Nan Liu. I would especially like to thank Carrie Hiser for her technical support, brainstorming sessions, and being a wonderful collaborator on our lipids project. I would also like to thank Ling Qin and Jeff Van Voost for their inspirational drive. Without their crystal structures and SimSite3D methods, this work would not be possible. • My committee members: Drs. Benning, Hausinger, Hegg, and Yan for their suggestions, critiques, and diverse research interests. • The Cell and Molecular Biology and Quantitative Biology Graduate Programs at MSU for allowing me to focus on protein structure and function and expand my interests into computational structural biology. I would especially like to thank Dr. Susan Conrad for her support and guidance. I would also like to thank Helen Geiger and Becky Mansel for their friendship and endless technical assistance. • My advisors at the University of Wisconsin-Parkside: Drs. MacWilliams, Lewis, and Wood for their mentoring and encouragement to attend graduate school. • My fellow students at MSU and UW-Parkside for their friendship throughout the years. Without your laughter and shenanigans, my life would be a more serious and boring experience. • My family, especially John, Terri, and Emily Buhrow. I love you! v TABLE OF CONTENTS LIST OF TABLES vii LIST OF FIGURES viii CHAPTER 1: Rhodobacter sphaeroides cytochrome c oxidase as a model system for understanding energy coupling and allosteric regulation in membrane proteins 1 References 27 CHAPTER 2: From static structure to living protein: computational analysis of cytochrome c oxidase main-chain flexibility 40 Introduction 41 Materials and Methods 44 Results and Discussion 52 Conclusions 77 References 78 CHAPTER 3: Structural predictions and functional consequences of porphyrin, steroid, and detergent ligands binding to the cytochrome c oxidase steroid binding site 84 Introduction 85 Materials and Methods 93 Results and Discussion 96 Conclusions 109 References 110 CHAPTER 4: Three-pronged computational approach to predict regulatory ligands of cytochrome c oxidase 115 Introduction 116 Materials and Methods 119 Results and Discussion 124 Conclusions 178 References 179 CHAPTER 5: Perspectives on CcO K-pathway conformational change and allosteric regulation 186 References 193 vi LIST OF TABLES TABLE 2.1: CcO structures analyzed by ProFlex and elNémo 46 TABLE 2.2: Comparison of oxidized and reduced two-subunit RsCcO structures 47 TABLE 2.3: Diverse membrane protein folds analyzed by ProFlex and elNémo 60 TABLE 2.4: elNémo percentage of atoms significantly displaced and relative frequencies of normal modes 60 TABLE 2.5: CcO helical conformational changes in elNémo low-energy modes 64 TABLE 3.1: RsCcO and BtCcO steroid binding site characterization 98 TABLE 3.2: Effects of bile acids on E101A mutant and WT RsCcO 101 TABLE 4.1: ROCS predicted ligands 125 TABLE 4.2: SimSite3D predicted binding sites 134 TABLE 4.3: Percentage of protein binding site matches between the CcO steroid binding site and diverse Binding MOAD proteins 143 TABLE 4.4: SLIDE docked ligands and their protein interactions 145 vii LIST OF FIGURES FIGURE 1.1: The electron transport chain 8 FIGURE 1.2: Structure of bacterial and mammalian cytochrome c oxidases 10 FIGURE 1.3: Cytochrome c oxidase oxygen reduction mechanism 15 FIGURE 2.1: Architecture of the two-subunit structure essential for RsCcO activity 42 FIGURE 2.2: Dependence of CcO flexibility on thermal energy increase, analyzed by ProFlex hydrogen bond dilution profiles 45 FIGURE 2.3: Mean squared displacement values within RsCcO trans- membrane helices 49 FIGURE 2.4: ProFlex flexibility comparison the of two and four subunit crystal structures of RsCcO 52 FIGURE 2.5: ProFlex prediction of main-chain flexibility and stability in RsCcO 54 FIGURE 2.6: Thermal denaturation of the RsCcO structure by ProFlex 55 FIGURE 2.7: elNémo simulation of low frequency motions in RsCcO 58 FIGURE 2.8: Relative flexibility of membrane proteins assessed using ProFlex 61 FIGURE 2.9: RsCcO, β2 adrenergic receptor, KcsA potassium channel, and VDAC residue displacement 61 FIGURE 2.10: Planes of relatively stationary residues in the CcO trans- membrane helices 67 FIGURE 2.11: Comparison of RsCcO normal modes and crystallographic temperature factors 69 FIGURE 2.12: Water molecule movement in the K-pathway 71 FIGURE 2.13: Conformational gating in the RsCcO oxygen channels 74 viii FIGURE 3.1: Bile acid structures 86 FIGURE 3.2: Deoxycholate resolved near the K-pathway entrance of RsCcO 89 FIGURE 3.3: RsCcO and BtCcO steroid binding site with conserved residues and bound water molecules 98 FIGURE 3.4: The steady-state activities of the detergent-solubilized RsCcO E101A 99 FIGURE 3.5: Potential binding orientations of known lipidic ligands in the RsCcO steroid binding site 103 FIGURE 3.6: RsCcO K-pathway rigidification upon ligand binding 107 FIGURE 4.1: Structure of bacterial and mammalian cytochrome c oxidases 117 FIGURE 4.2: ROCS predicted 2D ligand structures 130 FIGURE 4.3: ROCS aligned crystallographic deoxycholate and predicted ligands 132 FIGURE 4.4: SimSite3D predicted analogous chemical points between the RsCcO steroid binding site and sites found in Binding MOAD 142 FIGURE 4.5: Similar binding modes were predicted by SimSite3D aligned binding site and SLIDE docked ligands 147 FIGURE 4.6: Ethanol-soluble
Recommended publications
  • Enzyme DHRS7
    Toward the identification of a function of the “orphan” enzyme DHRS7 Inauguraldissertation zur Erlangung der Würde eines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakultät der Universität Basel von Selene Araya, aus Lugano, Tessin Basel, 2018 Originaldokument gespeichert auf dem Dokumentenserver der Universität Basel edoc.unibas.ch Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät auf Antrag von Prof. Dr. Alex Odermatt (Fakultätsverantwortlicher) und Prof. Dr. Michael Arand (Korreferent) Basel, den 26.6.2018 ________________________ Dekan Prof. Dr. Martin Spiess I. List of Abbreviations 3α/βAdiol 3α/β-Androstanediol (5α-Androstane-3α/β,17β-diol) 3α/βHSD 3α/β-hydroxysteroid dehydrogenase 17β-HSD 17β-Hydroxysteroid Dehydrogenase 17αOHProg 17α-Hydroxyprogesterone 20α/βOHProg 20α/β-Hydroxyprogesterone 17α,20α/βdiOHProg 20α/βdihydroxyprogesterone ADT Androgen deprivation therapy ANOVA Analysis of variance AR Androgen Receptor AKR Aldo-Keto Reductase ATCC American Type Culture Collection CAM Cell Adhesion Molecule CYP Cytochrome P450 CBR1 Carbonyl reductase 1 CRPC Castration resistant prostate cancer Ct-value Cycle threshold-value DHRS7 (B/C) Dehydrogenase/Reductase Short Chain Dehydrogenase Family Member 7 (B/C) DHEA Dehydroepiandrosterone DHP Dehydroprogesterone DHT 5α-Dihydrotestosterone DMEM Dulbecco's Modified Eagle's Medium DMSO Dimethyl Sulfoxide DTT Dithiothreitol E1 Estrone E2 Estradiol ECM Extracellular Membrane EDTA Ethylenediaminetetraacetic acid EMT Epithelial-mesenchymal transition ER Endoplasmic Reticulum ERα/β Estrogen Receptor α/β FBS Fetal Bovine Serum 3 FDR False discovery rate FGF Fibroblast growth factor HEPES 4-(2-Hydroxyethyl)-1-Piperazineethanesulfonic Acid HMDB Human Metabolome Database HPLC High Performance Liquid Chromatography HSD Hydroxysteroid Dehydrogenase IC50 Half-Maximal Inhibitory Concentration LNCaP Lymph node carcinoma of the prostate mRNA Messenger Ribonucleic Acid n.d.
    [Show full text]
  • Tropinone Synthesis Via an Atypical Polyketide Synthase and P450-Mediated Cyclization
    ARTICLE DOI: 10.1038/s41467-018-07671-3 OPEN Tropinone synthesis via an atypical polyketide synthase and P450-mediated cyclization Matthew A. Bedewitz 1, A. Daniel Jones 2,3, John C. D’Auria 4 & Cornelius S. Barry 1 Tropinone is the first intermediate in the biosynthesis of the pharmacologically important tropane alkaloids that possesses the 8-azabicyclo[3.2.1]octane core bicyclic structure that defines this alkaloid class. Chemical synthesis of tropinone was achieved in 1901 but the 1234567890():,; mechanism of tropinone biosynthesis has remained elusive. In this study, we identify a root- expressed type III polyketide synthase from Atropa belladonna (AbPYKS) that catalyzes the formation of 4-(1-methyl-2-pyrrolidinyl)-3-oxobutanoic acid. This catalysis proceeds through a non-canonical mechanism that directly utilizes an unconjugated N-methyl-Δ1-pyrrolinium cation as the starter substrate for two rounds of malonyl-Coenzyme A mediated decarbox- ylative condensation. Subsequent formation of tropinone from 4-(1-methyl-2-pyrrolidinyl)-3- oxobutanoic acid is achieved through cytochrome P450-mediated catalysis by AbCYP82M3. Silencing of AbPYKS and AbCYP82M3 reduces tropane levels in A. belladonna. This study reveals the mechanism of tropinone biosynthesis, explains the in planta co-occurrence of pyrrolidines and tropanes, and demonstrates the feasibility of tropane engineering in a non- tropane producing plant. 1 Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA. 2 Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA. 3 Department of Chemistry, Michigan State University, East Lansing, MI 48824, USA. 4 Department of Chemistry & Biochemistry, Texas Tech University, Lubbock, TX 79409, USA.
    [Show full text]
  • Metabolic Enzyme/Protease
    Inhibitors, Agonists, Screening Libraries www.MedChemExpress.com Metabolic Enzyme/Protease Metabolic pathways are enzyme-mediated biochemical reactions that lead to biosynthesis (anabolism) or breakdown (catabolism) of natural product small molecules within a cell or tissue. In each pathway, enzymes catalyze the conversion of substrates into structurally similar products. Metabolic processes typically transform small molecules, but also include macromolecular processes such as DNA repair and replication, and protein synthesis and degradation. Metabolism maintains the living state of the cells and the organism. Proteases are used throughout an organism for various metabolic processes. Proteases control a great variety of physiological processes that are critical for life, including the immune response, cell cycle, cell death, wound healing, food digestion, and protein and organelle recycling. On the basis of the type of the key amino acid in the active site of the protease and the mechanism of peptide bond cleavage, proteases can be classified into six groups: cysteine, serine, threonine, glutamic acid, aspartate proteases, as well as matrix metalloproteases. Proteases can not only activate proteins such as cytokines, or inactivate them such as numerous repair proteins during apoptosis, but also expose cryptic sites, such as occurs with β-secretase during amyloid precursor protein processing, shed various transmembrane proteins such as occurs with metalloproteases and cysteine proteases, or convert receptor agonists into antagonists and vice versa such as chemokine conversions carried out by metalloproteases, dipeptidyl peptidase IV and some cathepsins. In addition to the catalytic domains, a great number of proteases contain numerous additional domains or modules that substantially increase the complexity of their functions.
    [Show full text]
  • Title Structural Basis for the Reaction of Tropinone Reductase-II Analyzed
    Structural Basis for the Reaction of Tropinone Reductase-II Title Analyzed by X-ray Crystallography( Dissertation_全文 ) Author(s) Yamashita, Atsuko Citation 京都大学 Issue Date 1998-05-25 URL https://doi.org/10.11501/3138614 Right Type Thesis or Dissertation Textversion author Kyoto University Structural Basis for the Reaction of Tropinone Reductase-II Analyzed by X-ray Crystallography Atsuko Yamashita 1998 Contents Contents Contents Abbreviations iv CHAPTER 1 General Introduction 1 CHAPTER 2 Crystallization and Preliminary Crystallographic Study of Tropinone Reductase-11 5 2-1. Introduction 5 2-2. Experimental Procedures 6 Materials 6 Overproduction 7 Purification 7 Measurement of TR-II Activity 8 Crystallization 8 X -ray Diffraction Experiments 8 2-3. Results and Discussion 9 Purification of TR-II 9 Crystallization of TR-II 10 X-ray Diffraction Data Collection using Flash-Cooling Method 12 Crystallographic Data of TR-II Crystals 14 CHAPTER 3 Crystal Structure of Tropinone Reductase-11 17 3-1. Introduction 17 3-2. Experimental Procedures 19 Materials 19 - 1 - Contents Contents N-Terminal Amino Acid Sequence Analysis 19 CHAPTER 5 Preparation of Heavy Atom Derivative Crystals 19 General Conclusion 69 X-ray Diffraction Data Collection 21 Phase Determination 21 Acknow ledgernen ts 71 Phase Improvement and Model Building 21 Structure Refinement 23 References 73 3-3. Results 23 Structure Determination and Refinement 23 List of Publications 77 Subunit Structure 33 Dimer Structure 36 3-4. Discussion 37 Comparison of Crystal Structures between TR-II and TR-I 37 Implication for Stereospecificity of TRs 41 CHAPTER 4 Crystal Structure of Tropinone Reductase-11 Cornplexed with NADP+ and Pseudotropine 4 7 4-1.
    [Show full text]
  • Biocatalysis Using Plant and Metagenomic Enzymes for Organic Synthesis
    University College London UCL Biocatalysis Using Plant and Metagenomic Enzymes for Organic Synthesis Sophie Alice Newgas Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy (PhD) 2018 [1] [2] Declaration I, Sophie Alice Newgas, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Signed: Dated: [3] Abstract Biocatalysts provide an excellent alternative to traditional organic chemistry strategies, with advantages such as mild reaction conditions and high enantio- and stereoselectivities. The use of metagenomics has enabled new enzymes to be sourced with high sequence diversity. At UCL a metagenomics strategy has been developed for enzyme discovery, in which the library generated is annotated and searched for desired enzyme sequences. In this PhD, a metagenomic approach was used to retrieve 37 short chain reductase/dehydrogenases (SDRs) from an oral environment metagenome. Eight enzymes displayed activity towards cyclohexanone and their substrate selectivities were investigated. Four of the SDRs displayed activity to the Wieland-Miescher ketone (WMK), a motif found in several pharmaceutically relevant compounds. SDR- 17 displayed high conversions and stereoselectivities and was co-expressed with the co-factor recycling enzyme glucose-6-phosphate dehydrogenase. This system was then successfully used to reduce (R)-WMK on a preparative scale reaction in 89% isolated yield and >99% e.e.. In further studies using reductases, the substrate specificities of two ketoreductases known as tropinone reductase I and II (TRI and TRII respectively) from the plant D. stramonium and MecgoR from E.
    [Show full text]
  • Table 3. PDB Representation of Gene Families A. H. Sapiens
    Table 3. PDB representation of gene families A. H.
    [Show full text]
  • Plant Tropane Alkaloid Biosynthesis Evolved Independently in the Solanaceae and Erythroxylaceae
    Plant tropane alkaloid biosynthesis evolved independently in the Solanaceae and Erythroxylaceae Jan Jirschitzkaa, Gregor W. Schmidta, Michael Reichelta, Bernd Schneiderb, Jonathan Gershenzona, and John Charles D’Auriaa,1 aDepartment of Biochemistry, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany; and bNMR Research Group, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany Edited by Jerrold Meinwald, Cornell University, Ithaca, NY, and approved May 4, 2012 (received for review January 11, 2012) The pharmacologically important tropane alkaloids have a scat- Studies of the biosynthesis of tropane alkaloids have been tered distribution among angiosperm families, like many other predominantly performed with members of the Solanaceae and groups of secondary metabolites. To determine whether tropane to a lesser extent with cultivated species of the Erythroxylaceae. alkaloids have evolved repeatedly in different lineages or arise The majority of these studies used in vivo feeding of radiolabeled from an ancestral pathway that has been lost in most lines, we precursors (4–6) to elucidate the outlines of a general tropane investigated the tropinone-reduction step of their biosynthesis. In alkaloid biosynthetic pathway (7, 8). Biosynthesis is initiated species of the Solanaceae, which produce compounds such as from the polyamine putrescine, which is derived from the amino atropine and scopolamine, this reaction is known to be catalyzed acids ornithine or arginine (Fig. S1). Putrescine becomes N- by enzymes of the short-chain dehydrogenase/reductase family. methylated via the action of putrescine methyltransferase in what However, in Erythroxylum coca (Erythroxylaceae), which accumu- is generally considered to be the first committed step in tropane lates cocaine and other tropane alkaloids, no proteins of the short- alkaloid production (9).
    [Show full text]
  • Discovery of High Affinity Receptors for Dityrosine Through Inverse Virtual Screening and Docking and Molecular Dynamics
    Article Discovery of High Affinity Receptors for Dityrosine through Inverse Virtual Screening and Docking and Molecular Dynamics Fangfang Wang 1,*,†, Wei Yang 2,3,† and Xiaojun Hu 1,* 1 School of Life Science, Linyi University, Linyi 276000, China; [email protected] 2 Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia, [email protected] 3 Arieh Warshel Institute of Computational Biology, the Chinese University of Hong Kong, 2001 Longxiang Road, Longgang District, Shenzhen 518000, China * Corresponding author: [email protected] † These authors contributed equally to this work. Received: 09 December 2018; Accepted: 23 December 2018; Published: date Table S1. Docking affinity scores for cis-dityrosine binding to binding proteins. Target name PDB/UniProtKB Type Affinity (kcal/mol) Galectin-1 1A78/P56217 Lectin -6.2±0.0 Annexin III 1AXN/P12429 Calcium/phospholipid Binding Protein -7.5±0.0 Calmodulin 1CTR/P62158 Calcium Binding Protein -5.8±0.0 Seminal Plasma Protein Pdc-109 1H8P/P02784 Phosphorylcholine Binding Protein -6.6±0.0 Annexin V 1HAK/P08758 Calcium/phospholipid Binding -7.4±0.0 Alpha 1 antitrypsin 1HP7/P01009 Protein Binding -7.6±0.0 Histidine-Binding Protein 1HSL/P0AEU0 Binding Protein -6.3±0.0 Intestinal Fatty Acid Binding Protein 1ICN/P02693 Binding Protein(fatty Acid) -9.1±0.0* Migration Inhibitory Factor-Related Protein 14 1IRJ/P06702 Metal Binding Protein -7.0±0.0 Lysine-, Arginine-, Ornithine-Binding Protein 1LST/P02911 Amino Acid Binding Protein -6.5±0.0
    [Show full text]
  • Rough Draft of Dissertation
    Tropane alkaloid biosynthesis in Erythroxylum coca involves an atypical type III polyketide synthase by Neill Kim, B.A. A Dissertation In Chemistry Submitted to the Graduate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Approved Dr. Michael Latham Chair of Committee Dr. John D’Auria Dr. Joachim Weber Mark Sheridan Dean of the Graduate School May, 2020 Copyright 2020, Neill Kim Texas Tech University, Neill Kim, May 2020 ACKNOWLEDGMENTS I would like to thank Texas Tech University for the resources and support they provided, Dr. John D’Auria for all the guidance and support he has given me, and Dr. Michael Latham. I would also like the thank Dr. Charles Stewart for helping with the crystallography of the enzyme. This research was funded by the National Science Foundation under grant No. NSF-171423326 given to Dr. John D’Auria. ii Texas Tech University, Neill Kim, May 2020 TABLE OF CONTENTS ACKNOWLEDGMENTS ........................................................................................... ii ABSTRACT ................................................................................................................. vi LIST OF TABLES ..................................................................................................... vii LIST OF FIGURES .................................................................................................. viii LIST OF SCHEMES ................................................................................................
    [Show full text]
  • Engineering Cofactor Preference of Ketone Reducing Biocatalysts: A
    Int. J. Mol. Sci. 2010, 11, 1735-1758; doi:10.3390/ijms11041735 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Engineering Cofactor Preference of Ketone Reducing Biocatalysts: A Mutagenesis Study on a γ-Diketone Reductase from the Yeast Saccharomyces cerevisiae Serving as an Example Michael Katzberg 1, Nàdia Skorupa-Parachin 2, Marie-Françoise Gorwa-Grauslund 2 and Martin Bertau 1,* 1 Institute of Technical Chemistry and Biotechnology, Freiberg University of Mining and Technology, Leipziger Straße 29; 09596 Freiberg, Germany 2 Department of Applied Microbiology, Lund University, Getingevägen 60, 22241 Lund, Sweden * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +49-3731-39-2384. Received: 23 February 2010; in revised form: 24 March 2010 / Accepted: 6 April 2010 / Published: 14 April 2010 Abstract: The synthesis of pharmaceuticals and catalysts more and more relies on enantiopure chiral building blocks. These can be produced in an environmentally benign and efficient way via bioreduction of prochiral ketones catalyzed by dehydrogenases. A productive source of these biocatalysts is the yeast Saccharomyces cerevisiae, whose genome also encodes a reductase catalyzing the sequential reduction of the γ-diketone 2,5-hexanedione furnishing the diol (2S,5S)-hexanediol and the γ-hydroxyketone (5S)- hydroxy-2-hexanone in high enantio- as well as diastereoselectivity (ee and de >99.5%). This enzyme prefers NADPH as the hydrogen donating cofactor. As NADH is more stable and cheaper than NADPH it would be more effective if NADH could be used in cell-free bioreduction systems. To achieve this, the cofactor binding site of the dehydrogenase was altered by site-directed mutagenesis.
    [Show full text]
  • All Enzymes in BRENDA™ the Comprehensive Enzyme Information System
    All enzymes in BRENDA™ The Comprehensive Enzyme Information System http://www.brenda-enzymes.org/index.php4?page=information/all_enzymes.php4 1.1.1.1 alcohol dehydrogenase 1.1.1.B1 D-arabitol-phosphate dehydrogenase 1.1.1.2 alcohol dehydrogenase (NADP+) 1.1.1.B3 (S)-specific secondary alcohol dehydrogenase 1.1.1.3 homoserine dehydrogenase 1.1.1.B4 (R)-specific secondary alcohol dehydrogenase 1.1.1.4 (R,R)-butanediol dehydrogenase 1.1.1.5 acetoin dehydrogenase 1.1.1.B5 NADP-retinol dehydrogenase 1.1.1.6 glycerol dehydrogenase 1.1.1.7 propanediol-phosphate dehydrogenase 1.1.1.8 glycerol-3-phosphate dehydrogenase (NAD+) 1.1.1.9 D-xylulose reductase 1.1.1.10 L-xylulose reductase 1.1.1.11 D-arabinitol 4-dehydrogenase 1.1.1.12 L-arabinitol 4-dehydrogenase 1.1.1.13 L-arabinitol 2-dehydrogenase 1.1.1.14 L-iditol 2-dehydrogenase 1.1.1.15 D-iditol 2-dehydrogenase 1.1.1.16 galactitol 2-dehydrogenase 1.1.1.17 mannitol-1-phosphate 5-dehydrogenase 1.1.1.18 inositol 2-dehydrogenase 1.1.1.19 glucuronate reductase 1.1.1.20 glucuronolactone reductase 1.1.1.21 aldehyde reductase 1.1.1.22 UDP-glucose 6-dehydrogenase 1.1.1.23 histidinol dehydrogenase 1.1.1.24 quinate dehydrogenase 1.1.1.25 shikimate dehydrogenase 1.1.1.26 glyoxylate reductase 1.1.1.27 L-lactate dehydrogenase 1.1.1.28 D-lactate dehydrogenase 1.1.1.29 glycerate dehydrogenase 1.1.1.30 3-hydroxybutyrate dehydrogenase 1.1.1.31 3-hydroxyisobutyrate dehydrogenase 1.1.1.32 mevaldate reductase 1.1.1.33 mevaldate reductase (NADPH) 1.1.1.34 hydroxymethylglutaryl-CoA reductase (NADPH) 1.1.1.35 3-hydroxyacyl-CoA
    [Show full text]
  • Two Tropinone Reductases with Different Stereospecificities Are Short
    Proc. Natl. Acad. Sci. USA Vol. 90, pp. 9591-9595, October 1993 Biochemistry Two tropinone reductases with different stereospecificities are short-chain dehydrogenases evolved from a common ancestor (stereospecificity/protein evolution/tropane alkaloids) KEUI NAKAJIMA, TAKASHI HASHIMOTO*, AND YASUYUKI YAMADA Department of Agricultural Chemistry, Faculty of Agriculture, Kyoto University, Kyoto 606-01, Japan Communicated by Eric E. Conn, July 9, 1993 (receivedfor review May 24, 1993) ABSTRACT In the biosynthetic pathway of tropane alka- L-ornithine / L-arginine loids, tropinone reductase (EC 1.1.1.236) (TR)-I and TR-ll, respectively, reduce a common substrate, tropinone, stereospe- ciffcally to the stereoisomeric alkamines tropine and pseudo- tropine (at6tropine). cDNA clones coding for TR-I and TR-ll, as well as a structurally related cDNA clone with an unknown TR-I CH3 N< TR-II function, were isolated from the solanaceous plant Datura stramonium. The cDNA clones for TR-I and TR-II encode tropinone polypeptides containing 273 and 260 amino acids, respectively, and when these clones were expressed in Escherichia coli, the CH3eN recombinant TRs showed the same strict stereospecificity as OH that observed for the native TRs that had been isolated from tropine OH xj-tropine plants. The deduced amino acid sequences of the two clones showed an overall identity of 64% in 260-amino acid residues and also shared significant similarities with enzymes in the short-chain, nonmetal dehydrogenase family. Genomic DNA- alkaloids with a-configuration alkaloids with 3-configuration blot analysis detected the TR-encoding genes in three tropane hyoscyamine tigloidine alkaloid-producing solanaceous species but did not detect them scopolamine 3p-acetoxytropane in tobacco.
    [Show full text]