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首页> 外文期刊>BMC Bioinformatics >Visual setup of logical models of signaling and regulatory networks with ProMoT
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Visual setup of logical models of signaling and regulatory networks with ProMoT

机译:使用ProMoT可视化设置信令和监管网络的逻辑模型

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Background The analysis of biochemical networks using a logical (Boolean) description is an important approach in Systems Biology. Recently, new methods have been proposed to analyze large signaling and regulatory networks using this formalism. Even though there is a large number of tools to set up models describing biological networks using a biochemical (kinetic) formalism, however, they do not support logical models. Results Herein we present a flexible framework for setting up large logical models in a visual manner with the software tool ProMoT. An easily extendible library, ProMoT's inherent modularity and object-oriented concept as well as adaptive visualization techniques provide a versatile environment. Both the graphical and the textual description of the logical model can be exported to different formats. Conclusion New features of ProMoT facilitate an efficient set-up of large Boolean models of biochemical interaction networks. The modeling environment is flexible; it can easily be adapted to specific requirements, and new extensions can be introduced. ProMoT is freely available from http://www.mpi-magdeburg.mpg.de/projects/promot/ .
机译:背景技术使用逻辑(布尔)描述进行生化网络分析是系统生物学中的一种重要方法。最近,已经提出了使用这种形式主义来分析大型信号和监管网络的新方法。即使有大量工具可以使用生化(动力学)形式主义来描述生物网络的模型,但是它们不支持逻辑模型。结果在这里,我们提供了一个灵活的框架,用于使用软件工具ProMoT以可视方式设置大型逻辑模型。一个易于扩展的库,ProMoT固有的模块化和面向对象的概念以及自适应可视化技术提供了一个通用的环境。逻辑模型的图形描述和文本描述都可以导出为不同的格式。结论ProMoT的新功能有助于高效地建立大型生化相互作用网络布尔模型。建模环境灵活;它可以轻松地适应特定要求,并且可以引入新的扩展。 ProMoT可以从http://www.mpi-magdeburg.mpg.de/projects/promot/免费获得。

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