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CobraMod:一种基于通路的约束代谢模型注释工具。

CobraMod: a pathway-centric curation tool for constraint-based metabolic models.

机构信息

Independent Research Group, Molecular Genetics Department, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.

出版信息

Bioinformatics. 2022 Apr 28;38(9):2654-2656. doi: 10.1093/bioinformatics/btac119.

Abstract

SUMMARY

COnstraint-Based Reconstruction and Analysis of genome-scale metabolic models has become a widely used tool to understand metabolic network behavior at a large scale. However, existing reconstruction tools lack functionalities to address modellers' common objective to study metabolic networks on the pathway level. Thus, we developed CobraMod-a Python package for pathway-centric modification and extension of genome-scale metabolic networks. CobraMod can integrate data from various metabolic pathway databases as well as user-curated information. Our tool tests newly added metabolites, reactions and pathways against multiple curation criteria, suggests manual curation steps and provides the user with records of changes to ensure high quality metabolic reconstructions. CobraMod uses the visualization tool Escher for pathway representation and offers simple customization options for comparison of pathways and flux distributions. Our package enables coherent and reproducible workflows as it can be seamlessly integrated with COBRApy and Escher.

AVAILABILITY AND IMPLEMENTATION

The source code can be found at https://github.com/Toepfer-Lab/cobramod/ and can be installed with pip. The documentation including tutorials is available at https://cobramod.readthedocs.io/.

摘要

摘要

基于约束的基因组尺度代谢模型重建和分析已成为一种广泛使用的工具,可用于大规模了解代谢网络的行为。然而,现有的重建工具缺乏功能来解决建模者研究代谢网络的常见目标,即途径水平。因此,我们开发了 CobraMod,这是一个用于基于途径的基因组尺度代谢网络修改和扩展的 Python 包。CobraMod 可以整合来自各种代谢途径数据库以及用户策划信息的数据。我们的工具根据多个编校标准测试新添加的代谢物、反应和途径,建议手动编校步骤,并为用户提供更改记录,以确保高质量的代谢重建。CobraMod 使用 Escher 工具进行途径表示,并提供简单的自定义选项,用于比较途径和通量分布。我们的包可以实现一致且可重复的工作流程,因为它可以与 COBRApy 和 Escher 无缝集成。

可用性和实现

源代码可在 https://github.com/Toepfer-Lab/cobramod/ 找到,并可使用 pip 进行安装。文档包括教程可在 https://cobramod.readthedocs.io/ 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64eb/9048663/087391900e4f/btac119f1.jpg

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