BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.

BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.
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DOI:
10.1093/nar/gkn820
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发表时间:
2009-01
影响因子:
14.9
通讯作者:
Schomburg D
Schomburg D
中科院分区:
生物学2区
文献类型:
--
作者:
Chang A;Scheer M;Grote A;Schomburg I;Schomburg D

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BRENDA(BRaunschweig ENzyme Database)(http://www.brenda-enzymes.org)代表了最大的免费信息系统,包含所有分类酶的大量生化和分子信息以及用于查询数据库和计算分子特性的软件工具。该数据库涵盖了分类和命名、反应和特异性、功能参数、发生情况、酶结构和稳定性、突变体和酶工程、制备和分离、酶的应用以及配体相关数据等信息。 BRENDA 中的数据是根据 79,000 多个主要参考文献手动整理的。每个条目都清楚地链接到文献参考、起源生物体以及酶蛋白的蛋白质序列(如果有)。新的搜索选项提供对蛋白质特异性数据的访问。 FRENDA(完整参考酶数据)和 AMENDA(酶数据自动挖掘)是通过不断改进的文本挖掘程序创建的附加数据库。这些数据库应该提供对 PubMed 文献集的酶数据的完整调查。通过 SOAP(简单对象访问协议)接口访问 BRENDA 数据的 Web 服务得到了进一步增强。
The BRENDA (BRaunschweig ENzyme DAtabase) (http://www.brenda-enzymes.org) represents the largest freely available information system containing a huge amount of biochemical and molecular information on all classified enzymes as well as software tools for querying the database and calculating molecular properties. The database covers information on classification and nomenclature, reaction and specificity, functional parameters, occurrence, enzyme structure and stability, mutants and enzyme engineering, preparation and isolation, the application of enzymes, and ligand-related data. The data in BRENDA are manually curated from more than 79 000 primary literature references. Each entry is clearly linked to a literature reference, the origin organism and, where available, to the protein sequence of the enzyme protein. A new search option provides the access to protein-specific data. FRENDA (Full Reference ENzyme DAta) and AMENDA (Automatic Mining of ENzyme DAta) are additional databases created by continuously improved text-mining procedures. These databases ought to provide a complete survey on enzyme data of the literature collection of PubMed. The web service via a SOAP (Simple Object Access Protocol) interface for access to the BRENDA data has been further enhanced.
DOI: 10.1093/nar/gkm1000
发表时间: 2008-01
影响因子: 14.9
作者:
Wheeler, David L.;Barrett, Tanya;Benson, Dennis A.;Bryant, Stephen H.;Canese, Kathi;Chetvernin, Vyacheslav;Church, Deanna M.;DiCuccio, Michael;Edgar, Ron;Federhen, Scott;Feolo, Michael;Geer, Lewis Y.;Helmberg, Wolfgang;Kapustin, Yuri;Khovayko, Oleg;Landsman, David;Lipman, David J.;Madden, Thomas L.;Maglott, Donna R.;Miller, Vadim;Ostell, James;Pruitt, Kim D.;Schuler, Gregory D.;Shumway, Martin;Sequeira, Edwin;Sherry, Steven T.;Sirotkin, Karl;Souvorov, Alexandre;Starchenko, Grigory;Tatusov, Roman L.;Tatusova, Tatiana A.;Wagner, Lukas;Yaschenko, Eugene
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DOI: 10.1093/nar/gkl972
发表时间: 2007-01
影响因子: 14.9
作者:
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发表时间: 2008-01
影响因子: 14.9
作者:
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发表时间: 2004-01-01
影响因子: 14.9
作者:
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