Glucdrp) and L-Lyxonate Dehydratase Proteins (Lyxd)
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Comparison of Topological Clustering Within Protein Networks Using Edge
Comparison of topological clustering within protein networks using edge metrics that evaluate full sequence, full structure, and active site microenvironment similarity Janelle B. Leuthaeuser,1 Stacy T. Knutson,2 Kiran Kumar,2 Patricia C. Babbitt,3,4 and Jacquelyn S. Fetrow1,2* 1Department of Molecular Genetics and Genomics, Wake Forest University, Winston-Salem, North Carolina 27106 2Departments of Computer Science and Physics, Wake Forest University, Winston-Salem, North Carolina 27106 3Department of Bioengineering and Therapeutic Sciences, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California 94158 4Department of Pharmaceutical Chemistry, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California 94158 Received 10 April 2015; Accepted 10 June 2015 DOI: 10.1002/pro.2724 Published online 12 June 2015 proteinscience.org Abstract: The development of accurate protein function annotation methods has emerged as a major unsolved biological problem. Protein similarity networks, one approach to function annota- tion via annotation transfer, group proteins into similarity-based clusters. An underlying assump- tion is that the edge metric used to identify such clusters correlates with functional information. In this contribution, this assumption is evaluated by observing topologies in similarity networks using three different edge metrics: sequence (BLAST), structure (TM-Align), and active site similarity (active site profiling, implemented in DASP). Network topologies for four well-studied protein superfamilies (enolase, peroxiredoxin (Prx), glutathione transferase (GST), and crotonase) were compared with curated functional hierarchies and structure. As expected, network topology differs, depending on edge metric; comparison of topologies provides valuable information on structure/ function relationships. Subnetworks based on active site similarity correlate with known functional hierarchies at a single edge threshold more often than sequence- or structure-based networks. -
Eradication of ENO1-Deleted Glioblastoma Through Collateral Lethality
bioRxiv preprint doi: https://doi.org/10.1101/331538; this version posted May 25, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Eradication of ENO1-deleted Glioblastoma through Collateral Lethality Yu-Hsi Lin1, Nikunj Satani1,2, Naima Hammoudi1, Jeffrey J. Ackroyd1, Sunada Khadka1, Victoria C. Yan1, Dimitra K. Georgiou1, Yuting Sun3, Rafal Zielinski4, Theresa Tran1, Susana Castro Pando1, Xiaobo Wang1, David Maxwell5, Zhenghong Peng6, Federica Pisaneschi1, Pijus Mandal7, Paul G. Leonard8, Quanyu Xu,9 Qi Wu9, Yongying Jiang9, Barbara Czako10, Zhijun Kang10, John M. Asara11, Waldemar Priebe4, William Bornmann12, Joseph R. Marszalek3, Ronald A. DePinho13 and Florian L. Muller#1 1) Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054 2) Institute of Stroke and Cerebrovascular Disease, The University of Texas Health Science Center at Houston, TX 77030 3) Center for Co-Clinical Trials, The University of Texas MD Anderson Cancer Center, Houston, TX 77054 4) Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054 5) Institutional Analytics & Informatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030 6) Cardtronics, Inc., Houston, TX 77042 7) Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054 bioRxiv preprint doi: https://doi.org/10.1101/331538; this version posted May 25, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. -
Integrated Molecular Analysis of Sugar Metabolism of Sulfolobus Solfataricus
Integrated molecular analysis of Sugar Metabolism of Sulfolobus solfataricus Stan J.J. Brouns Integrated molecular analysis of sugar metabolism of Sulfolobus solfataricus Stan J.J. Brouns Promotoren prof. dr. Willem M. de Vos hoogleraar in de Microbiologie Wageningen Universiteit prof. dr. John van der Oost persoonlijk hoogleraar Microbiologie en Biochemie Wageningen Universiteit Leden van de prof. dr. Ton J.W.G. Visser promotie bijzonder hoogleraar Microspectroscopie in de Biochemie commissie Wageningen Universiteit prof. dr. Arnold J.M. Driessen hoogleraar Moleculaire Microbiologie Rijksuniversiteit Groningen dr. Loren L. Looger Howard Hughes Medical Institute Ashburn (VA), Verenigde Staten dr. Thijs Kaper Genencor International Palo Alto (CA), Verenigde Staten Dit onderzoek is uitgevoerd binnen de onderzoekschool VLAG Integrated molecular analysis of sugar metabolism of Sulfolobus solfataricus Stan J.J. Brouns Proefschrift ter verkrijging van de graad van doctor op gezag van de rector magnificus van Wageningen Universiteit, prof. dr. M.J. Kropff, in het openbaar te verdedigen op dinsdag 2 oktober 2007 des namiddags te half twee in de Aula Cover Boiling water: the habitat of a hyperthermophile (photo: S.J.J. Brouns) Printing Gildeprint (Enschede) Sponsoring Hellma Benelux, bioMérieux Brouns, S.J.J. - Integrated molecular analysis of sugar metabolism of Sulfolobus solfataricus in Dutch Geïntegreerde moleculaire analyse van het suikermetabolisme van Sulfolobus solfataricus PhD Thesis Wageningen University, Wageningen, Netherlands (2007) 176 p. - with summary in Dutch ISBN 978-90-8504-713-1 Voor mijn ouders en Marloes DANkwooRD Met trots ligt ligt hier nu een boekje. Natuurlijk kon het niet totstandkomen zonder de hulp van anderen. In dit stukje wil ik die mensen bedanken. -
Functional Assignments in the Enolase Superfamily: Investigations of Two Divergent Groups of D-Galacturonate Dehydratases and Galactarate Dehydratase-Iii
FUNCTIONAL ASSIGNMENTS IN THE ENOLASE SUPERFAMILY: INVESTIGATIONS OF TWO DIVERGENT GROUPS OF D-GALACTURONATE DEHYDRATASES AND GALACTARATE DEHYDRATASE-III BY FIONA PATRICIA GRONINGER-POE i DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biochemistry in the Graduate College of the University of Illinois at Urbana-Champaign, 2014 Urbana, Illinois Doctoral Committee: Professor John A. Gerlt, Chair Professor John E. Cronan, Jr. Associate Professor Rutilo Fratti Associate Professor Raven H. Huang ABSTRACT More than a decade after the genomic age, full genome sequencing is cost-effective and fast, allowing for the deposit of an ever increasing number of DNA sequences. New fields have arisen from this availability of genomic information, and the way we think about biochemistry and enzymology has been transformed. Unfortunately, there is no robust method for accurately determining the functions of enzymes encoded by these sequences that matches the speed in which genomes are deposited into public databases. Functional assignment of enzymes remains of utmost importance in understanding microbial metabolism and has applications in agriculture by examining bacterial plant pathogen metabolism and additionally in human health by providing metabolic context to the human gut microbiome. To aid in the functional identification of proteins, enzymes can be grouped into superfamilies which share common structural motifs as well as mechanistic features. To this end, the enolase superfamily is an excellent model system for functional assignment because more than half of the members still lack functional identification. Structurally, these enzymes contain substrate specificity residues in the N-terminal capping domain and catalytic residues in the C-terminal barrel domain. -
Metatranscriptomic Analysis of Community Structure And
School of Environmental Sciences Metatranscriptomic analysis of community structure and metabolism of the rhizosphere microbiome by Thomas Richard Turner Submitted in partial fulfilment of the requirement for the degree of Doctor of Philosophy, September 2013 This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with the author and that use of any information derived there from must be in accordance with current UK Copyright Law. In addition, any quotation or extract must include full attribution. i Declaration I declare that this is an account of my own research and has not been submitted for a degree at any other university. The use of material from other sources has been properly and fully acknowledged, where appropriate. Thomas Richard Turner ii Acknowledgements I would like to thank my supervisors, Phil Poole and Alastair Grant, for their continued support and guidance over the past four years. I’m grateful to all members of my lab, both past and present, for advice and friendship. Graham Hood, I don’t know how we put up with each other, but I don’t think I could have done this without you. Cheers Salt! KK, thank you for all your help in the lab, and for Uma’s biryanis! Andrzej Tkatcz, thanks for the useful discussions about our projects. Alison East, thank you for all your support, particularly ensuring Graham and I did not kill each other. I’m grateful to Allan Downie and Colin Murrell for advice. For sequencing support, I’d like to thank TGAC, particularly Darren Heavens, Sophie Janacek, Kirsten McKlay and Melanie Febrer, as well as John Walshaw, Mark Alston and David Swarbreck for bioinformatic support. -
Assembly of an Active Enzyme by the Linkage of Two Protein Modules
Proc. Natl. Acad. Sci. USA Vol. 94, pp. 1069–1073, February 1997 Biochemistry Assembly of an active enzyme by the linkage of two protein modules A. E. NIXON,M.S.WARREN, AND S. J. BENKOVIC* 152 Davey Laboratory, Department of Chemistry, Pennsylvania State University, University Park, PA 16802-6300 Contributed by S. J. Benkovic, December 9, 1996 ABSTRACT The feasibility of creating new enzyme activ- design enzymes with novel properties. Previous approaches to ities from enzymes of known function has precedence in view the design of proteins with novel activities have included of protein evolution based on the concepts of molecular catalytic antibodies (8, 9); introduction of metal ion binding recruitment and exon shuffling. The enzymes encoded by the sites, such as the one engineered into trypsin to allow either Escherichia coli genes purU and purN, N10-formyltetrahydro- control of the proteolytic activity (10) or to regulate specificity folate hydrolase and glycinamide ribonucleotide (GAR) trans- (11); creation of hybrid enzymes through exchange of subunits formylase, respectively, catalyze similiar yet distinct reactions. to create hybrid oligomers (12); replacement of structural N10-formyltetrahydrofolate hydrolase uses water to cleave elements such as the DNA binding domain of GCN4 with that N10-formyltetrahydrofolate into tetrahydrofolate and for- of CyEBP (13); mutation of multiple individual residues to mate, whereas GAR transformylase catalyses the transfer of change the cofactor specificity of glutathione reductase from formyl from N10-formyltetrahydrofolate to GAR to yield NADPH to NADH (14), modulation of the substrate speci- formyl-GAR and tetrahydrofolate. The two enzymes show ficity of aspartate aminotransferase (15); and changing the significant homology ('60%) in the carboxyl-terminal region specificity of subtilisin (16) and a-lytic protease (17) through which, from the GAR transformylase crystal structure and mutation of single functional groups. -
Genome-Scale Fitness Profile of Caulobacter Crescentus Grown in Natural Freshwater
Supplemental Material Genome-scale fitness profile of Caulobacter crescentus grown in natural freshwater Kristy L. Hentchel, Leila M. Reyes Ruiz, Aretha Fiebig, Patrick D. Curtis, Maureen L. Coleman, Sean Crosson Tn5 and Tn-Himar: comparing gene essentiality and the effects of gene disruption on fitness across studies A previous analysis of a highly saturated Caulobacter Tn5 transposon library revealed a set of genes that are required for growth in complex PYE medium [1]; approximately 14% of genes in the genome were deemed essential. The total genome insertion coverage was lower in the Himar library described here than in the Tn5 dataset of Christen et al (2011), as Tn-Himar inserts specifically into TA dinucleotide sites (with 67% GC content, TA sites are relatively limited in the Caulobacter genome). Genes for which we failed to detect Tn-Himar insertions (Table S13) were largely consistent with essential genes reported by Christen et al [1], with exceptions likely due to differential coverage of Tn5 versus Tn-Himar mutagenesis and differences in metrics used to define essentiality. A comparison of the essential genes defined by Christen et al and by our Tn5-seq and Tn-Himar fitness studies is presented in Table S4. We have uncovered evidence for gene disruptions that both enhanced or reduced strain fitness in lake water and M2X relative to PYE. Such results are consistent for a number of genes across both the Tn5 and Tn-Himar datasets. Disruption of genes encoding three metabolic enzymes, a class C β-lactamase family protein (CCNA_00255), transaldolase (CCNA_03729), and methylcrotonyl-CoA carboxylase (CCNA_02250), enhanced Caulobacter fitness in Lake Michigan water relative to PYE using both Tn5 and Tn-Himar approaches (Table S7). -
Resolution of Carbon Metabolism and Sulfur-Oxidation Pathways of Metallosphaera Cuprina Ar-4 Via Comparative Proteomics
JOURNAL OF PROTEOMICS 109 (2014) 276– 289 Available online at www.sciencedirect.com ScienceDirect www.elsevier.com/locate/jprot Resolution of carbon metabolism and sulfur-oxidation pathways of Metallosphaera cuprina Ar-4 via comparative proteomics Cheng-Ying Jianga, Li-Jun Liua, Xu Guoa, Xiao-Yan Youa, Shuang-Jiang Liua,c,⁎, Ansgar Poetschb,⁎⁎ aState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, PR China bPlant Biochemistry, Ruhr University Bochum, Bochum, Germany cEnvrionmental Microbiology and Biotechnology Research Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, PR China ARTICLE INFO ABSTRACT Article history: Metallosphaera cuprina is able to grow either heterotrophically on organics or autotrophically Received 16 March 2014 on CO2 with reduced sulfur compounds as electron donor. These traits endowed the species Accepted 6 July 2014 desirable for application in biomining. In order to obtain a global overview of physiological Available online 14 July 2014 adaptations on the proteome level, proteomes of cytoplasmic and membrane fractions from cells grown autotrophically on CO2 plus sulfur or heterotrophically on yeast extract Keywords: were compared. 169 proteins were found to change their abundance depending on growth Quantitative proteomics condition. The proteins with increased abundance under autotrophic growth displayed Bioleaching candidate enzymes/proteins of M. cuprina for fixing CO2 through the previously identified Autotrophy 3-hydroxypropionate/4-hydroxybutyrate cycle and for oxidizing elemental sulfur as energy Heterotrophy source. The main enzymes/proteins involved in semi- and non-phosphorylating Entner– Industrial microbiology Doudoroff (ED) pathway and TCA cycle were less abundant under autotrophic growth. Also Extremophile some transporter proteins and proteins of amino acid metabolism changed their abundances, suggesting pivotal roles for growth under the respective conditions. -
Structures, Functions, and Mechanisms of Filament Forming Enzymes: a Renaissance of Enzyme Filamentation
Structures, Functions, and Mechanisms of Filament Forming Enzymes: A Renaissance of Enzyme Filamentation A Review By Chad K. Park & Nancy C. Horton Department of Molecular and Cellular Biology University of Arizona Tucson, AZ 85721 N. C. Horton ([email protected], ORCID: 0000-0003-2710-8284) C. K. Park ([email protected], ORCID: 0000-0003-1089-9091) Keywords: Enzyme, Regulation, DNA binding, Nuclease, Run-On Oligomerization, self-association 1 Abstract Filament formation by non-cytoskeletal enzymes has been known for decades, yet only relatively recently has its wide-spread role in enzyme regulation and biology come to be appreciated. This comprehensive review summarizes what is known for each enzyme confirmed to form filamentous structures in vitro, and for the many that are known only to form large self-assemblies within cells. For some enzymes, studies describing both the in vitro filamentous structures and cellular self-assembly formation are also known and described. Special attention is paid to the detailed structures of each type of enzyme filament, as well as the roles the structures play in enzyme regulation and in biology. Where it is known or hypothesized, the advantages conferred by enzyme filamentation are reviewed. Finally, the similarities, differences, and comparison to the SgrAI system are also highlighted. 2 Contents INTRODUCTION…………………………………………………………..4 STRUCTURALLY CHARACTERIZED ENZYME FILAMENTS…….5 Acetyl CoA Carboxylase (ACC)……………………………………………………………………5 Phosphofructokinase (PFK)……………………………………………………………………….6 -
Generated by SRI International Pathway Tools Version 25.0, Authors S
Authors: Pallavi Subhraveti Ron Caspi Quang Ong Peter D Karp An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Ingrid Keseler Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000725805Cyc: Streptomyces xanthophaeus Cellular Overview Connections between pathways are omitted for legibility. -
Supporting Information High-Throughput Virtual Screening
Supporting Information High-Throughput Virtual Screening of Proteins using GRID Molecular Interaction Fields Simone Sciabola, Robert V. Stanton, James E. Mills, Maria M. Flocco, Massimo Baroni, Gabriele Cruciani, Francesca Perruccio and Jonathan S. Mason Contents Table S1 S2-S21 Figure S1 S22 * To whom correspondence should be addressed: Simone Sciabola, Pfizer Research Technology Center, Cambridge, 02139 MA, USA Phone: +1-617-551-3327; Fax: +1-617-551-3117; E-mail: [email protected] S1 Table S1. Description of the 990 proteins used as decoy for the Protein Virtual Screening analysis. PDB ID Protein family Molecule Res. (Å) 1n24 ISOMERASE (+)-BORNYL DIPHOSPHATE SYNTHASE 2.3 1g4h HYDROLASE 1,3,4,6-TETRACHLORO-1,4-CYCLOHEXADIENE HYDROLASE 1.8 1cel HYDROLASE(O-GLYCOSYL) 1,4-BETA-D-GLUCAN CELLOBIOHYDROLASE I 1.8 1vyf TRANSPORT PROTEIN 14 KDA FATTY ACID BINDING PROTEIN 1.85 1o9f PROTEIN-BINDING 14-3-3-LIKE PROTEIN C 2.7 1t1s OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 2.4 1t1r OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 2.3 1q0q OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 1.9 1jcy LYASE 2-DEHYDRO-3-DEOXYPHOSPHOOCTONATE ALDOLASE 1.9 1fww LYASE 2-DEHYDRO-3-DEOXYPHOSPHOOCTONATE ALDOLASE 1.85 1uk7 HYDROLASE 2-HYDROXY-6-OXO-7-METHYLOCTA-2,4-DIENOATE 1.7 1v11 OXIDOREDUCTASE 2-OXOISOVALERATE DEHYDROGENASE ALPHA SUBUNIT 1.95 1x7w OXIDOREDUCTASE 2-OXOISOVALERATE DEHYDROGENASE ALPHA SUBUNIT 1.73 1d0l TRANSFERASE 35KD SOLUBLE LYTIC TRANSGLYCOSYLASE 1.97 2bt4 LYASE 3-DEHYDROQUINATE DEHYDRATASE -
The Structure of Neurospora Crassa 3-Carboxy-Cis,Cis-Muconate Lactonizing Enzyme, a  Propeller Cycloisomerase
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Structure, Vol. 10, 483–492, April, 2002, 2002 Elsevier Science Ltd. All rights reserved. PII S0969-2126(02)00744-X The Structure of Neurospora crassa 3-Carboxy-cis,cis-Muconate Lactonizing Enzyme, a  Propeller Cycloisomerase Tommi Kajander,1 Michael C. Merckel,1 ing the structural basis for different alternatives for catal- Andrew Thompson,2 Ashley M. Deacon,3 ysis in MLEs could therefore aid in understanding and Paul Mazur,4 John W. Kozarich,4,6 engineering enzymes for degradation of xenobiotic pol- and Adrian Goldman1,5 lutants, such as fluoroaromatics. 1 Institute of Biotechnology MLEs convert cis,cis-muconates to muconolactones Research Program in Structural Biology in soil microbes as part of the -ketoadipate pathway. and Biophysics This aerobic catabolic pathway converts aromatics, such University of Helsinki as the breakdown products of lignin, through catechol FIN-00014 Helsinki and protocatechuate to citric acid cycle intermediates. Finland The two major branches of the -ketoadipate pathway 2 EMBL are the catechol branch, with cis,cis-muconate lactoniz- Grenoble Outstation ing enzymes, and the protocatechuate branch (Figure 38024 Grenoble 1), with carboxy-cis,cis-muconate lactonizing enzymes France (CMLEs). 3 Stanford Synchrotron Radiation Laboratory The evolutionary origins of these enzymes are surpris- Menlo Park, California 94025 ingly divergent, both in terms of sequence similarity and 4 Merck Research Laboratories functional properties (Table 1). Three different classes of Rahway, New Jersey 07065 lactonizing enzymes can be distinguished. The bacterial MLEs contain an unusual TIM barrel [3] and are closely related to mandelate racemase [4].