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系统比较 MetaCyc 和 KEGG 途径数据库。

A systematic comparison of the MetaCyc and KEGG pathway databases.

机构信息

Bioinformatics Research Group, SRI International, Menlo Park, USA.

出版信息

BMC Bioinformatics. 2013 Mar 27;14:112. doi: 10.1186/1471-2105-14-112.

Abstract

BACKGROUND

The MetaCyc and KEGG projects have developed large metabolic pathway databases that are used for a variety of applications including genome analysis and metabolic engineering. We present a comparison of the compound, reaction, and pathway content of MetaCyc version 16.0 and a KEGG version downloaded on Feb-27-2012 to increase understanding of their relative sizes, their degree of overlap, and their scope. To assess their overlap, we must know the correspondences between compounds, reactions, and pathways in MetaCyc, and those in KEGG. We devoted significant effort to computational and manual matching of these entities, and we evaluated the accuracy of the correspondences.

RESULTS

KEGG contains 179 module pathways versus 1,846 base pathways in MetaCyc; KEGG contains 237 map pathways versus 296 super pathways in MetaCyc. KEGG pathways contain 3.3 times as many reactions on average as do MetaCyc pathways, and the databases employ different conceptualizations of metabolic pathways. KEGG contains 8,692 reactions versus 10,262 for MetaCyc. 6,174 KEGG reactions are components of KEGG pathways versus 6,348 for MetaCyc. KEGG contains 16,586 compounds versus 11,991 for MetaCyc. 6,912 KEGG compounds act as substrates in KEGG reactions versus 8,891 for MetaCyc. MetaCyc contains a broader set of database attributes than does KEGG, such as relationships from a compound to enzymes that it regulates, identification of spontaneous reactions, and the expected taxonomic range of metabolic pathways. MetaCyc contains many pathways not found in KEGG, from plants, fungi, metazoa, and actinobacteria; KEGG contains pathways not found in MetaCyc, for xenobiotic degradation, glycan metabolism, and metabolism of terpenoids and polyketides. MetaCyc contains fewer unbalanced reactions, which facilitates metabolic modeling such as using flux-balance analysis. MetaCyc includes generic reactions that may be instantiated computationally.

CONCLUSIONS

KEGG contains significantly more compounds than does MetaCyc, whereas MetaCyc contains significantly more reactions and pathways than does KEGG, in particular KEGG modules are quite incomplete. The number of reactions occurring in pathways in the two DBs are quite similar.

摘要

背景

MetaCyc 和 KEGG 项目已经开发了大型代谢途径数据库,这些数据库可用于多种应用,包括基因组分析和代谢工程。我们比较了 MetaCyc 版本 16.0 和 2012 年 2 月 27 日下载的 KEGG 的化合物、反应和途径的内容,以增加对它们的相对大小、重叠程度和范围的理解。为了评估它们的重叠,我们必须知道 MetaCyc 和 KEGG 中化合物、反应和途径之间的对应关系。我们投入了大量的精力来计算和手动匹配这些实体,并评估了对应关系的准确性。

结果

KEGG 包含 179 个模块途径,而 MetaCyc 包含 1846 个基本途径;KEGG 包含 237 个图谱途径,而 MetaCyc 包含 296 个超级途径。KEGG 途径中的平均反应数是 MetaCyc 途径的 3.3 倍,并且这两个数据库对代谢途径有不同的概念化。KEGG 包含 8692 个反应,而 MetaCyc 包含 10262 个反应。KEGG 中有 6174 个反应是 KEGG 途径的组成部分,而 MetaCyc 中有 6348 个反应。KEGG 包含 16586 种化合物,而 MetaCyc 包含 11991 种化合物。KEGG 中有 6912 种化合物作为 KEGG 反应的底物,而 MetaCyc 中有 8891 种化合物。MetaCyc 包含比 KEGG 更广泛的数据库属性,例如从一种化合物到它调节的酶的关系、自发反应的识别以及代谢途径的预期分类范围。MetaCyc 包含许多 KEGG 中没有的途径,包括植物、真菌、后生动物和放线菌;KEGG 包含许多 MetaCyc 中没有的途径,包括外来物质降解、聚糖代谢和萜类和聚酮类代谢。MetaCyc 包含较少的不平衡反应,这有利于代谢建模,例如使用通量平衡分析。MetaCyc 包括可以通过计算实例化的通用反应。

结论

KEGG 包含的化合物明显多于 MetaCyc,而 MetaCyc 包含的反应和途径明显多于 KEGG,特别是 KEGG 模块非常不完整。这两个数据库中途径中发生的反应数量非常相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d18/3665663/f24823608292/1471-2105-14-112-1.jpg

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