Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
PLoS Comput Biol. 2013;9(3):e1002980. doi: 10.1371/journal.pcbi.1002980. Epub 2013 Mar 21.
We present the RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox: a software suite that allows for semi-automated reconstruction of genome-scale models. It makes use of published models and/or the KEGG database, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology. The RAVEN Toolbox workflow was applied in order to reconstruct a genome-scale metabolic model for the important microbial cell factory Penicillium chrysogenum Wisconsin54-1255. The model was validated in a bibliomic study of in total 440 references, and it comprises 1471 unique biochemical reactions and 1006 ORFs. It was then used to study the roles of ATP and NADPH in the biosynthesis of penicillin, and to identify potential metabolic engineering targets for maximization of penicillin production.
我们介绍了 RAVEN(代谢网络的重建、分析和可视化)工具包:这是一个软件套件,允许半自动重建基因组规模的模型。它利用已发表的模型和/或 KEGG 数据库,并结合了广泛的填补空白和质量控制功能。该软件套件还包含用于可视化模拟结果和组学数据的方法,以及一系列用于执行模拟和分析结果的方法。该软件是在代谢背景下进行系统范围数据分析以及基于蛋白质同源性进行代谢网络简化重建的有用工具。为了对重要的微生物细胞工厂产黄青霉 Wisconsin54-1255 进行基因组规模代谢模型的重建,应用了 RAVEN 工具包工作流程。该模型在总共 440 个参考文献的生物信息学研究中得到了验证,它包含 1471 个独特的生化反应和 1006 个 ORFs。然后,它被用于研究 ATP 和 NADPH 在青霉素生物合成中的作用,并确定潜在的代谢工程目标,以最大化青霉素的产量。