BRENDA, the enzyme information system in 2011

被引:310
作者
Scheer, Maurice [1 ]
Grote, Andreas [1 ]
Chang, Antje [1 ]
Schomburg, Ida [1 ]
Munaretto, Cornelia [1 ]
Rother, Michael [1 ]
Soehngen, Carola [1 ]
Stelzer, Michael [1 ]
Thiele, Juliane [1 ]
Schomburg, Dietmar [1 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Dept Bioinformat & Biochem, D-38106 Braunschweig, Germany
关键词
REPRESENTATION; DATABASE;
D O I
10.1093/nar/gkq1089
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific community. The majority of the data are manually extracted from the primary literature. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. The number of manually annotated references increased by 30% to more than 100 000, the number of ligand structures by 45% to almost 100 000. New query, analysis and data management tools were implemented to improve data processing, data presentation, data input and data access. BRENDA now provides new viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. Furthermore a ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps. The disease text mining part is strongly enhanced. It is possible to submit new, not yet classified enzymes to BRENDA, which then are reviewed and classified by the International Union of Biochemistry and Molecular Biology. A new SBML output format of BRENDA kinetic data allows the construction of organism-specific metabolic models.
引用
收藏
页码:D670 / D676
页数:7
相关论文
共 10 条
  • [1] The Universal Protein Resource (UniProt) in 2010
    Apweiler, Rolf
    Martin, Maria Jesus
    O'Donovan, Claire
    Magrane, Michele
    Alam-Faruque, Yasmin
    Antunes, Ricardo
    Barrell, Daniel
    Bely, Benoit
    Bingley, Mark
    Binns, David
    Bower, Lawrence
    Browne, Paul
    Chan, Wei Mun
    Dimmer, Emily
    Eberhardt, Ruth
    Fedotov, Alexander
    Foulger, Rebecca
    Garavelli, John
    Huntley, Rachael
    Jacobsen, Julius
    Kleen, Michael
    Laiho, Kati
    Leinonen, Rasko
    Legge, Duncan
    Lin, Quan
    Liu, Wudong
    Luo, Jie
    Orchard, Sandra
    Patient, Samuel
    Poggioli, Diego
    Pruess, Manuela
    Corbett, Matt
    di Martino, Giuseppe
    Donnelly, Mike
    van Rensburg, Pieter
    Bairoch, Amos
    Bougueleret, Lydie
    Xenarios, Ioannis
    Altairac, Severine
    Auchincloss, Andrea
    Argoud-Puy, Ghislaine
    Axelsen, Kristian
    Baratin, Delphine
    Blatter, Marie-Claude
    Boeckmann, Brigitte
    Bolleman, Jerven
    Bollondi, Laurent
    Boutet, Emmanuel
    Quintaje, Silvia Braconi
    Breuza, Lionel
    [J]. NUCLEIC ACIDS RESEARCH, 2010, 38 : D142 - D148
  • [2] The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
    Caspi, Ron
    Altman, Tomer
    Dale, Joseph M.
    Dreher, Kate
    Fulcher, Carol A.
    Gilham, Fred
    Kaipa, Pallavi
    Karthikeyan, Athikkattuvalasu S.
    Kothari, Anamika
    Krummenacker, Markus
    Latendresse, Mario
    Mueller, Lukas A.
    Paley, Suzanne
    Popescu, Liviu
    Pujar, Anuradha
    Shearer, Alexander G.
    Zhang, Peifen
    Karp, Peter D.
    [J]. NUCLEIC ACIDS RESEARCH, 2010, 38 : D473 - D479
  • [3] BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009
    Chang, Antje
    Scheer, Maurice
    Grote, Andreas
    Schomburg, Ida
    Schomburg, Dietmar
    [J]. NUCLEIC ACIDS RESEARCH, 2009, 37 : D588 - D592
  • [4] The systems biology markup language (SBML):: a medium for representation and exchange of biochemical network models
    Hucka, M
    Finney, A
    Sauro, HM
    Bolouri, H
    Doyle, JC
    Kitano, H
    Arkin, AP
    Bornstein, BJ
    Bray, D
    Cornish-Bowden, A
    Cuellar, AA
    Dronov, S
    Gilles, ED
    Ginkel, M
    Gor, V
    Goryanin, II
    Hedley, WJ
    Hodgman, TC
    Hofmeyr, JH
    Hunter, PJ
    Juty, NS
    Kasberger, JL
    Kremling, A
    Kummer, U
    Le Novère, N
    Loew, LM
    Lucio, D
    Mendes, P
    Minch, E
    Mjolsness, ED
    Nakayama, Y
    Nelson, MR
    Nielsen, PF
    Sakurada, T
    Schaff, JC
    Shapiro, BE
    Shimizu, TS
    Spence, HD
    Stelling, J
    Takahashi, K
    Tomita, M
    Wagner, J
    Wang, J
    [J]. BIOINFORMATICS, 2003, 19 (04) : 524 - 531
  • [5] KEGG for representation and analysis of molecular networks involving diseases and drugs
    Kanehisa, Minoru
    Goto, Susumu
    Furumichi, Miho
    Tanabe, Mao
    Hirakawa, Mika
    [J]. NUCLEIC ACIDS RESEARCH, 2010, 38 : D355 - D360
  • [6] Database resources of the National Center for Biotechnology Information
    Sayers, Eric W.
    Barrett, Tanya
    Benson, Dennis A.
    Bolton, Evan
    Bryant, Stephen H.
    Canese, Kathi
    Chetvernin, Vyacheslav
    Church, Deanna M.
    DiCuccio, Michael
    Federhen, Scott
    Feolo, Michael
    Geer, Lewis Y.
    Helmberg, Wolfgang
    Kapustin, Yuri
    Landsman, David
    Lipman, David J.
    Lu, Zhiyong
    Madden, Thomas L.
    Madej, Tom
    Maglott, Donna R.
    Marchler-Bauer, Aron
    Miller, Vadim
    Mizrachi, Ilene
    Ostell, James
    Panchenko, Anna
    Pruitt, Kim D.
    Schuler, Gregory D.
    Sequeira, Edwin
    Sherry, Stephen T.
    Shumway, Martin
    Sirotkin, Karl
    Slotta, Douglas
    Souvorov, Alexandre
    Starchenko, Grigory
    Tatusova, Tatiana A.
    Wagner, Lukas
    Wang, Yanli
    Wilbur, W. John
    Yaschenko, Eugene
    Ye, Jian
    [J]. NUCLEIC ACIDS RESEARCH, 2010, 38 : D5 - D16
  • [7] Schomburg D., 2001, SPRINGER HDB ENZYMES, V2nd
  • [8] SCHOMBURG I, 2000, GENE FUNCT DIS, V3, P109
  • [9] Stein SE, 2003, PROCEEDINGS OF THE 2003 INTERNATIONAL CHEMICAL INFORMATION CONFERENCE, P131
  • [10] Velankar S, 2010, NUCLEIC ACIDS RES, V38, pD308, DOI [10.1093/nar/gkp916, 10.1093/nar/gkq985]