MetaNetX:是代谢资源之间的桥梁,用于增强策划和多主题数据协调
Sébastien Moretti1, Anne Niknejad1, Marco Pagni1
1Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Nucleic acids research
|November 26, 2025
概括
更新的MetaNetX 2025增强了新陈代谢数据的整合和多omics分析. 这个资源现在提供了改进的化学和反应覆盖范围,支持系统生物学和人工智能驱动的研究.
科学领域:
- 代谢数据库是代谢的数据库.
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- MetaNetX 是一个关键的资源,用于协调跨数据库的代谢信息.
- 准确的代谢数据对于系统生物学和多学科研究至关重要.
研究的目的:
- 详细介绍MetaNetX 2025版本中的重大更新.
- 突出数据覆盖,标准化和可访问性方面的改进.
主要方法:
- 增强化学结构计算和规范化.
- 扩展资源描述格式 (RDF) 图表,包括协调历史.
- 用文档和示例查询来丰富SPARQL终点.
主要成果:
- 显著改善了化学和反应覆盖范围.
- 更准确地协调来自不同来源的代谢数据.
- 通过使用标准化标识符 (InChI,SMILES) 和R组定义,实现了强大的多omics集成.
结论:
- 在MetaNetX 2025更新加强其作为一个高质量的,开放式访问平台的作用.
- 促进了增强的程序访问和AI工具集成.
- 该资源更适合高级系统生物学和多omics数据分析.
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