Host adapted metabolism in bacterial infections: Data integration and refined metabolic modelling

细菌感染中的宿主适应代谢：数据整合和精细代谢模型

• 批准号: 71820836
• 负责人: Professor Dr. Thomas Dandekar
• 金额: --
• 依托单位: Lehrstuhl für Bioinformatik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/71820836?language=en
• 关键词: Host; adapted; metabolism; bacterial; infections

We achieved a joined software platform for modelling metabolism in extracellular and intracellular infections. We established collaborations, software compatibility and exchange throughout the SPP, service, data integration and a web platform. The progress achieved is also testified by a number of publications. For the next period we want to join the numerous collaborations and individual results achieved by the bioinformatics platform of SPP in the context of an integrated view on metabolism during infection: Metabolism in host – pathogen interactions is a tight and complicated interaction which can and has to be studied by several and very diverse methods and data-sets. We will combine a number of different approaches to achieve here optimal data integration and integrated models. Furthermore, the metabolic modelling achieved in the last period delineates also required new steps: This includes datadriven modelling in particular for the extracellular pathogen examples studied as well as tackling the data generation itself with respect to isotopolog modelling, modelling of metabolic fluxes and fit to experimental data. Here we want to establish new approaches allowing at the same time also in this respect an integrated view and calculation of metabolism during bacterial infections.

我们实现了一个联合的软件平台，用于模拟细胞外和细胞内感染的代谢。我们在SPP、服务、数据集成和网络平台上建立了协作、软件兼容性和交流。一些出版物也证明了所取得的进展。在下一阶段，我们希望加入SPP生物信息学平台在感染期间代谢综合观点背景下取得的众多合作和个人成果：宿主-病原体相互作用中的代谢是一种紧密而复杂的相互作用，可以并且必须通过多种非常多样化的方法和数据集进行研究。我们将联合收割机的数量不同的方法来实现最佳的数据集成和集成模型。此外，在上一个时期实现的代谢建模也描绘了所需的新步骤：这包括数据驱动建模，特别是针对所研究的细胞外病原体的例子，以及处理关于同位素建模的数据生成本身，代谢通量的建模和与实验数据的拟合。在这里，我们希望建立新的方法，同时在这方面也允许细菌感染期间代谢的综合视图和计算。