Mechanistic and Structural Studies of Phenylalanine Hydroxylase From
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Flavin-Containing Monooxygenases: Mutations, Disease and Drug Response Phillips, IR; Shephard, EA
Flavin-containing monooxygenases: mutations, disease and drug response Phillips, IR; Shephard, EA For additional information about this publication click this link. http://qmro.qmul.ac.uk/jspui/handle/123456789/1015 Information about this research object was correct at the time of download; we occasionally make corrections to records, please therefore check the published record when citing. For more information contact [email protected] Flavin-containing monooxygenases: mutations, disease and drug response Ian R. Phillips1 and Elizabeth A. Shephard2 1School of Biological and Chemical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK 2Department of Biochemistry and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK Corresponding author: Shephard, E.A. ([email protected]). and, thus, contribute to drug development. This review Flavin-containing monooxygenases (FMOs) metabolize considers the role of FMOs and their genetic variants in numerous foreign chemicals, including drugs, pesticides disease and drug response. and dietary components and, thus, mediate interactions between humans and their chemical environment. We Mechanism and structure describe the mechanism of action of FMOs and insights For catalysis FMOs require flavin adenine dinucleotide gained from the structure of yeast FMO. We then (FAD) as a prosthetic group, NADPH as a cofactor and concentrate on the three FMOs (FMOs 1, 2 and 3) that are molecular oxygen as a cosubstrate [5,6]. In contrast to most important for metabolism of foreign chemicals in CYPs FMOs accept reducing equivalents directly from humans, focusing on the role of the FMOs and their genetic NADPH and, thus, do not require accessory proteins. -
ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed
ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed Probe Sets in Livers of GK Rats. A. Immune/Inflammatory (67 probe sets, 63 genes) Age Strain Probe ID Gene Name Symbol Accession Gene Function 5 WKY 1398390_at small inducible cytokine B13 precursor Cxcl13 AA892854 chemokine activity; lymph node development 5 WKY 1389581_at interleukin 33 Il33 BF390510 cytokine activity 5 WKY *1373970_at interleukin 33 Il33 AI716248 cytokine activity 5 WKY 1369171_at macrophage stimulating 1 (hepatocyte growth factor-like) Mst1; E2F2 NM_024352 serine-throenine kinase; tumor suppression 5 WKY 1388071_x_at major histocompatability antigen Mhc M24024 antigen processing and presentation 5 WKY 1385465_at sialic acid binding Ig-like lectin 5 Siglec5 BG379188 sialic acid-recognizing receptor 5 WKY 1393108_at major histocompatability antigen Mhc BM387813 antigen processing and presentation 5 WKY 1388202_at major histocompatability antigen Mhc BI395698 antigen processing and presentation 5 WKY 1371171_at major histocompatability antigen Mhc M10094 antigen processing and presentation 5 WKY 1370382_at major histocompatability antigen Mhc BI279526 antigen processing and presentation 5 WKY 1371033_at major histocompatability antigen Mhc AI715202 antigen processing and presentation 5 WKY 1383991_at leucine rich repeat containing 8 family, member E Lrrc8e BE096426 proliferation and activation of lymphocytes and monocytes. 5 WKY 1383046_at complement component factor H Cfh; Fh AA957258 regulation of complement cascade 4 WKY 1369522_a_at CD244 natural killer -
TRANSLATIONALLY by AMPK a Dissertation
CHOLESTEROL 7 ALPHA-HYDROXYLASE IS REGULATED POST- TRANSLATIONALLY BY AMPK A dissertation submitted to Kent State University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy By Mauris E.C. Nnamani May 2009 Dissertation written by Mauris E. C. Nnamani B.S, Kent State University, 2006 Ph.D., Kent State University, 2009 Approved by Diane Stroup Advisor Gail Fraizer Members, Doctoral Dissertation Committee S. Vijayaraghavan Arne Gericke Jennifer Marcinkiewicz Accepted by Robert Dorman , Director, School of Biomedical Science John Stalvey , Dean, Collage of Arts and Sciences ii TABLE OF CONTENTS LIST OF FIGURES……………………………………………………………..vi ACKNOWLEDGMENTS……………………………………………………..viii CHAPTER I: INTRODUCTION……………………………………….…........1 a. Bile Acid Synthesis…………………………………………….……….2 i. Importance of Bile Acid Synthesis Pathway………………….….....2 ii. Bile Acid Transport..…………………………………...…...………...3 iii. Bile Acid Synthesis Pathway………………………………………...…4 iv. Classical Bile Acid Synthesis Pathway…..……………………..…..8 Cholesterol 7 -hydroxylase (CYP7A1)……..........………….....8 Transcriptional Regulation of Cholesterol 7 -hydroxylase by Bile Acid-activated FXR…………………………….....…10 CYP7A1 Transcriptional Repression by SHP-dependant Mechanism…………………………………………………...10 CYP7A1 Transcriptional Repression by SHP-independent Mechanism……………………………………..…………….…….11 CYP7A1 Transcriptional Repression by Activated Cellular Kinase…….…………………………...…………………….……12 v. Alternative/ Acidic Bile Acid Synthesis Pathway…………......…….12 Sterol 27-hydroxylase (CYP27A1)……………….…………….12 -
Relating Metatranscriptomic Profiles to the Micropollutant
1 Relating Metatranscriptomic Profiles to the 2 Micropollutant Biotransformation Potential of 3 Complex Microbial Communities 4 5 Supporting Information 6 7 Stefan Achermann,1,2 Cresten B. Mansfeldt,1 Marcel Müller,1,3 David R. Johnson,1 Kathrin 8 Fenner*,1,2,4 9 1Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, 10 Switzerland. 2Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 11 Zürich, Switzerland. 3Institute of Atmospheric and Climate Science, ETH Zürich, 8092 12 Zürich, Switzerland. 4Department of Chemistry, University of Zürich, 8057 Zürich, 13 Switzerland. 14 *Corresponding author (email: [email protected] ) 15 S.A and C.B.M contributed equally to this work. 16 17 18 19 20 21 This supporting information (SI) is organized in 4 sections (S1-S4) with a total of 10 pages and 22 comprises 7 figures (Figure S1-S7) and 4 tables (Table S1-S4). 23 24 25 S1 26 S1 Data normalization 27 28 29 30 Figure S1. Relative fractions of gene transcripts originating from eukaryotes and bacteria. 31 32 33 Table S1. Relative standard deviation (RSD) for commonly used reference genes across all 34 samples (n=12). EC number mean fraction bacteria (%) RSD (%) RSD bacteria (%) RSD eukaryotes (%) 2.7.7.6 (RNAP) 80 16 6 nda 5.99.1.2 (DNA topoisomerase) 90 11 9 nda 5.99.1.3 (DNA gyrase) 92 16 10 nda 1.2.1.12 (GAPDH) 37 39 6 32 35 and indicates not determined. 36 37 38 39 S2 40 S2 Nitrile hydration 41 42 43 44 Figure S2: Pearson correlation coefficients r for rate constants of bromoxynil and acetamiprid with 45 gene transcripts of ECs describing nucleophilic reactions of water with nitriles. -
The Biosynthesis Reaction of Hypotaurine to Taurine
UNIVERSITY OF CENTRAL OKLAHOMA Edmond, Oklahoma Jackson College of Graduate Studies The Biosynthesis Reaction of Hypotaurine to Taurine A THESIS SUBMITTED TO THE GRADUATE FACULTY In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE IN BIOLOGY By Roxanna Q. Grove Edmond, Oklahoma 2018 Acknowledgments Working on this project has been a period of intense learning for me, not only in the scientific arena, but also on a personal level. Writing this thesis has had a significant impact on me. I would like to reflect on people who have been supported and helped me so much throughout this period. First of all, I would like to express my gratitude toward my advisor, Dr. Steven J. Karpowicz, for his devotion, inspiration, and guidance. I am so grateful to have the opportunity to work with such an intelligent, dedicated, and patient professor. I appreciate his vast knowledge and skills in many areas such as biochemistry, genetics, and bioinformatics, and his assistance in writing this thesis. I would like to thank the other members of my committee, Dr. Nikki Seagraves, Dr. Hari Kotturi, and Dr. Lilian Chooback, for their guidance, support, and for providing materials throughout this project. An exceptional thanks go to Dr. John Bowen of the Department of Chemistry for advice in the analytical laboratory and Dr. Susan L. Nimmo from the Department of Chemistry and Biochemistry at the University of Oklahoma for assistance with NMR. This project was supported by funding from the College of Mathematics and Science and a Research, Creative, and Scholarly Activities (RCSA) grant from the Office of High Impact Practices at UCO. -
2018 Annual Meeting Proceedings
Downloaded from orbit.dtu.dk on: Oct 04, 2021 Genomics driven discovery and engineering of fungal polycyclic polyketides Subko, Karolina; Wolff, Peter B.; Theobald, Sebastian; Frisvad, Jens C.; Gotfredsen, Charlotte H.; Andersen, Mikael R.; Mortensen, Uffe H.; Larsen, Thomas O. Publication date: 2018 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Subko, K., Wolff, P. B., Theobald, S., Frisvad, J. C., Gotfredsen, C. H., Andersen, M. R., Mortensen, U. H., & Larsen, T. O. (2018). Genomics driven discovery and engineering of fungal polycyclic polyketides. 68. Abstract from The American Society of Pharmacognosy Annual Meeting 2018, Lexington, Kentucky, United States. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstracts | 2018 Annual Meeting of the ASP | July 21-25, 2018 | Lexington, Kentucky, USA 2 The American Society of Pharmacognosy Annual Meeting July 21-25, 2018 Hilton Lexington Downtown Lexington, Kentucky ENGAGE IN THE CONVO #ASP2018 Welcome to 59th Annual Meeting of the American Society of Pharmacognosy (ASP) 2018 in beautiful downtown Lexington, Kentucky! The Local Organizing Committee would like to thank you for joining us for the ASP meeting at the Hilton Lexington Downtown. -
Inhibition and Cofactor Targeting of Hypoxia-Sensing Proteins
University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses August 2015 Inhibition and Cofactor Targeting of Hypoxia-Sensing Proteins Cornelius Y. Taabazuing University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/dissertations_2 Part of the Biochemistry Commons, Inorganic Chemistry Commons, and the Structural Biology Commons Recommended Citation Taabazuing, Cornelius Y., "Inhibition and Cofactor Targeting of Hypoxia-Sensing Proteins" (2015). Doctoral Dissertations. 409. https://doi.org/10.7275/6956835.0 https://scholarworks.umass.edu/dissertations_2/409 This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. INHIBITION AND COFACTOR TARGETING OF HYPOXIA-SENSING PROTEINS A Dissertation Presented by CORNELIUS TAABAZUING Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2015 Department of Chemistry © Copyright by Cornelius Taabazuing 2015 All Rights Reserved INHIBITION AND COFACTOR TARGETING OF HYPOXIA-SENSING PROTEINS A Dissertation Presented by CORNELIUS TAABAZUING Approved as to style and content by: ______________________________ Michael J. Knapp, Chair ______________________________ Michael J. Maroney, Member ______________________________ Nathan A. Schnarr, Member ______________________________ Scott C. Garman, Outside Member ______________________________ Craig T. Martin, Department Head Department of Chemistry DEDICATION To my mom, Barbara Soonyime, thank you for the sacrifices you have made to make it possible to pursue my dreams. To my wife Rachelle Taabazuing, thank you for providing me with your love, motivation, and patience. -
Charakterisierung Heptahelikaler Rezeptoren in Aspergillus Fumigatus
Charakterisierung heptahelikaler Rezeptoren in Aspergillus fumigatus Dissertation zur Erlangung des akademischen Grades doctor rerum naturalium (Dr. rer. nat.) vorgelegt dem Rat der Biologisch-Pharmazeutischen Fakultät der Friedrich-Schiller-Universität Jena von Diplom-Biologe Alexander Gehrke geboren am 11. April 1978 in Peine Gutachter 1. Prof. Axel A. Brakhage , Jena 2. Prof. Erika Kothe, Jena 3. Prof. Hubertus Haas, Innsbruck Tag der öffentlichen Verteidigung: 26. Januar 2009 Inhaltsverzeichnis A. Einleitung........................................................................................................................... 1 Aspergillus fumigatus – Saprophyt und Pathogen......................................................................1 Signalwahrnehmung, Signaltransduktion und Zellantwort................................................... 3 Intrazelluläre Signalweiterleitung – eine kurze Übersicht....................................................4 Sensierung von Stress............................................................................................................6 Heterotrimere G-Proteine, cAMP und Proteinkinase A........................................................ 6 G-Protein-gekoppelte Rezeptoren....................................................................................... 10 Ziele der Arbeit........................................................................................................................ 12 B. Material – Methoden..................................................................................................... -
Incorporation of Oxygen Into the Succinate Co-Product of Iron(II) and 2-Oxoglutarate Dependent Oxygenases from Bacteria, Plants and Humans
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector FEBS Letters 579 (2005) 5170–5174 FEBS 29930 Incorporation of oxygen into the succinate co-product of iron(II) and 2-oxoglutarate dependent oxygenases from bacteria, plants and humans Richard W.D. Welforda,1, Joanna.M. Kirkpatrickb,1, Luke A. McNeillb,1, Munish Puric, Neil J. Oldhamb, Christopher J. Schofieldb,* a UC Berkeley, Department of Chemistry, Berkeley, CA 94720, USA b Chemistry Research Laboratory, Department of Chemistry and Oxford Centre for Molecular Sciences, Mansfield Road, Oxford OX1 3TA, UK c Biochemical Engineering Research and Process Development Centre, Institute of Microbial Technology, Chandigarh, India Received 20 July 2005; revised 17 August 2005; accepted 17 August 2005 Available online 30 August 2005 Edited by Stuart Ferguson during hydroxylation reactions, a less than stoichiometric Abstract The ferrous iron and 2-oxoglutarate (2OG) depen- dent oxygenases catalyse two electron oxidation reactions by incorporation of oxygen into the hydroxyl group of the prod- coupling the oxidation of substrate to the oxidative decarboxyl- uct can occur in some cases (e.g., hydroxylation of some ation of 2OG, giving succinate and carbon dioxide coproducts. substrates catalysed by clavaminic acid synthase and deace- The evidence available on the level of incorporation of one atom toxy/deacetyl cephalosporin C synthase) [9,10]. This is thought from dioxygen into succinate is inconclusive. Here, we demon- to be due to solvent exchange of one of the reactive iron– strate that five members of the 2OG oxygenase family, AlkB oxygen intermediates, although the identity of the particular from Escherichia coli, anthocyanidin synthase and flavonol syn- intermediate(/s) that undergo exchange has not been defined. -
The Pennsylvania State University the Graduate School Eberly College of Science
The Pennsylvania State University The Graduate School Eberly College of Science MECHANISTIC DISSECTION OF TAURINE α-KETOGLUTARATE DIOXYGENASE (TauD): A MODEL α-KETOGLUTARATE DIOXYGENASE A Thesis in Biochemistry, Microbiology, and Molecular Biology by John C. Price © 2005 John C. Price Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2005 Thesis of John C. Price was reviewed and approved∗ by the following: Joseph M. Bollinger, Jr. Associate Professor of Biochemistry and Molecular Biology and Associate Professor of Chemistry Thesis Co-advisor Co-chair of Committee Carsten Krebs Assistant Professor of Biochemistry and Molecular Biology and Assistant Professor of Chemistry Thesis Co-advisor Co-chair of Committee Squire J. Booker Associate Professor of Biochemistry and Molecular Biology and Associate Professor of Chemistry Craig E. Cameron Paul Berg Professor of Biochemistry and Molecular Biology Michael T. Green Assistant Professor of Chemistry Robert A. Schlegel Professor of Biochemistry and Molecular Biology Head of the Department of Biochemistry and Molecular Biology ∗ Signatures are on file in the Graduate School iii Abstract The oxidizing power of O2 is the basis for the function of the respiratory cycle and is used in many biosynthetic processes. Harnessing these oxidizing equivalents requires levels of precaution and precise control, even so preventing and repairing the damage due to reduced oxygen species is a constant effort in aerobic organisms. The Fe(II)•α-ketoglutarate dioxygenase enzymes harness the oxidizing equivalents of O2 in a mechanism which requires the decarboxylation of α-ketoglutarate to create a highly oxidized Fe center. These enzymes are very effective at specific two electron oxidations of unactivated carbon atoms, and occupy key positions in a surprisingly large number of biological systems. -
Three Classes of Tetrahydrobiopterin-Dependent Enzymes
DOI 10.1515/pterid-2013-0003 Pteridines 2013; 24(1): 7–11 Review Ernst R. Werner* Three classes of tetrahydrobiopterin-dependent enzymes Abstract: Current knowledge distinguishes three classes in Antalya, Turkey. For a more detailed review on bio- of tetrahydrobiopterin-dependent enzymes as based on chemistry and pathophysiology of tetrahydrobio pterin, protein sequence similarity. These three protein sequence the reader is referred to Ref. [ 1 ]. Here, a short historical clusters hydroxylate three types of substrate atoms and overview of the discovery of tetrahydrobiopterin-depend- use three different forms of iron for catalysis. The first ent enzymes is presented, followed by a summary of the class to be discovered was the aromatic amino acid biochemical properties of these enzymes. The reactions hydroxylases, which, in mammals, include phenylalanine catalyzed by the three classes of tetrahydrobiopterin- hydroxylase, tyrosine hydroxylase, and two isoforms of dependent enzymes are detailed in Figure 1 . tryptophan hydroxylases. The protein sequences of these tetrahydrobiopterin-dependent aromatic amino acid hydroxylases are significantly similar, and all mammalian Discovery of tetrahydrobiopterin- aromatic amino acid hydroxylases require a non-heme- dependent enzymes bound iron atom in the active site of the enzyme for cataly- sis. The second classes of tetrahydrobiopterin-dependent enzymes to be characterized were the nitric oxide syn- Aromatic amino acid hydroxylases thases, which in mammals occur as three isoforms. Nitric oxide synthase protein sequences form a separate cluster Phenylalanine hydroxylase was the first enzyme charac- of homologous sequences with no similarity to aromatic terized to be dependent on a tetrahydropterin [ 2 ]. It then amino acid hydroxylase protein sequences. In contrast to took five more years to identify the nature of the endo- aromatic amino acid hydroxylases, nitric oxide synthases genous cofactor as tetrahydrobiopterin [ 3 ]. -
Quantitative Structure-Activity Relationship Modeling to Predict Drug-Drug Interactions Between Acetaminophen and Ingredients in Energy Drinks
Quantitative Structure-Activity Relationship Modeling to Predict Drug-Drug Interactions Between Acetaminophen and Ingredients in Energy Drinks by Emese Somogyvari A thesis submitted to the School of Computing in conformity with the requirements for the degree of Master of Science Queen's University Kingston, Ontario, Canada August 2014 Copyright c Emese Somogyvari, 2014 Abstract The evaluation of drug-drug interactions (DDI) is a crucial step in pharmaceutical drug discovery and design. Unfortunately, if adverse effects are to occur between the co-administration of two or more drugs, they are often difficult to test for. Tradi- tional methods rely on in vitro studies as a basis for further in vivo assessment which can be a slow and costly process that may not detect all interactions. Here is pre- sented a quantitative structure-activity relationship (QSAR) modeling approach that may be used to screen drugs early in development and bring new, beneficial drugs to market more quickly and at a lesser cost. A data set of 6,532 drugs was obtained from DrugBank for which 292 QSAR descriptors were calculated. The multi-label support vector machines (SVM) method was used for classification and the K-means method was used to cluster the data. The model was validated in vitro by exposing Hepa1-6 cells to select compounds found in energy drinks and assessing cell death. Model accuracy was found to be 99%, predicting 50% of known interactions despite being biased to predicting non-interacting drug pairs. Cluster analysis revealed in- teresting information, although current progress shows that more data is needed to better analyse results, and tools that bring various drug information together would be beneficial.