The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.

The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.
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DOI:
10.1093/nar/gkm900
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发表时间:
2008-01
影响因子:
14.9
通讯作者:
Karp, Peter D.
Karp, Peter D.
中科院分区:
生物学2区
文献类型:
--
作者:
Caspi, Ron;Foerster, Hartmut;Fulcher, Carol A.;Kaipa, Pallavi;Krummenacker, Markus;Latendresse, Mario;Paley, Suzanne;Rhee, Seung Y.;Shearer, Alexander G.;Tissier, Christophe;Walk, Thomas C.;Zhang, Peifen;Karp, Peter D.

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MetaCyc(MetaCyc.org)是一个来自生命所有领域的代谢途径和酶的通用数据库。MetaCyc中的途径是从主要的科学文献中挑选出来的,并且是实验确定的小分子代谢途径。MetaCyc途径中的每个反应都用一个或多个特征良好的酶进行注释。由于MetaCyc只包含实验阐明的知识,它为代谢途径和酶提供了独特的高质量资源。BioCyc(BioCyc.org)是350多个生物体特定途径/基因组数据库(PGDB)的集合。每个BioCyc PGDB包含一个生物体的预测代谢网络,包括代谢途径、酶、代谢物和Path Tools软件使用MetaCyc作为参考数据库预测的反应。BioCyc PGDB还包含预测的操纵子和预测的路径空穴填充物-预测哪些酶可能催化尚未分配给酶的路径反应。BioCyc网站提供了许多计算分析PGDBs的工具,包括比较分析和在路径环境中分析组学数据。由SRI生成的BioCyc PGDB供任何感兴趣的各方采用,用于持续整合有关生物体的代谢和基因组相关信息。
MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally determined small-molecule metabolic pathways. Each reaction in a MetaCyc pathway is annotated with one or more well-characterized enzymes. Because MetaCyc contains only experimentally elucidated knowledge, it provides a uniquely high-quality resource for metabolic pathways and enzymes. BioCyc (BioCyc.org) is a collection of more than 350 organism-specific Pathway/Genome Databases (PGDBs). Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database. BioCyc PGDBs also contain predicted operons and predicted pathway hole fillers—predictions of which enzymes may catalyze pathway reactions that have not been assigned to an enzyme. The BioCyc website offers many tools for computational analysis of PGDBs, including comparative analysis and analysis of omics data in a pathway context. The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism.
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