从KEGG RCLASS数据中计算双推出图形转换规则和原子对原子映射
Nora Beier1, Thomas Gatter1, Jakob L Andersen2
1Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Universität Leipzig, Härtelstraße 16-18, D-04107, Leipzig, Germany.
Algorithms for molecular biology : AMB
|January 30, 2026
概括
新的laveau软件从KEGG RCLASS数据生成明确的DPO规则和原子对原子地图,使代谢网络的详细原子级模型成为可能.
科学领域:
- 生物信息学是一种生物信息学.
- 计算化学计算化学
- 系统生物学 系统生物学
背景情况:
- 原子对原子地图对于许多应用至关重要,但很难获得.
- 凯格反应数据库使用RCLASSes,而不是直接的原子对原子地图,阻碍了规则构建.
- DPO图形转换规则为原子级映射提供了有效的表示.
研究的目的:
- 开发一种将KEGG RCLASS数据转换为DPO规则的方法.
- 从现有的KEGG反应数据中生成明确的原子对原子地图.
主要方法:
- 开发了"laveau",一种工具,可以从KEGG反应和RCLASS数据中计算DPO规则.
- 算法将RDM代码转换为RDM模式图,根据嵌入方式将它们合并,并形成反应物/产物子图.
- 原子对原子地图是从RDM代码中衍生出来的,用于定义DPO转换规则.
主要成果:
- 从3195个RCLASSes中,laveau成功生成了1232个DPO规则和1594个原子对原子地图.
- 对反应物应用的生成DPO规则产生了完整的原子对原子地图.
- 该工具有效地从RCLASS数据中重建原子级细节.
结论:
- laveau软件从KEGG RCLASSes中提取了酶催化反应的局部原子对原子地图.
- 为原子级代谢网络模型提供DPO规则,解决数据缺口.
- 促进了生物化学转换在原子水平的详细分析.
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