Agreement assessment of biochemical pathway models by structural analysis of their intersection

T. Rubina, M. Mednis, E. Stalidzans
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引用次数: 2

Abstract

In case of model development, it would be an advantage to assess the quality of available models looking for the best one or to find suitable parts of a published model to build a new one. The differences or contradictions in reconstructions can indicate the level of agreement between different authors about the topic of interest. The intersecting part of models can reveal also the differences in the scope of the models. Two pairs of models from BioCyc database were analyzed: 1) the Escherichia coli models ecol199310cyc and ecol316407cyc and 2) the Saccharomyces cerevisiae models iND750 and iLL672. The ModeRator software tool is used to compare models and generate their intersection model. The structural parameters of models are analyzed by the software BINESA. The study reveals very different parameters of the intersections of the pairs of the E. coli and the S. cerevisiae models. The models built by the same group of authors like in the case of E. coli is selected as an example of a high agreement between models and can be interpreted as a consensus part of two initial models. The intersection of the S. cerevisiae models demonstrates very different structural properties and the intersection model would not be able to function even after significant improvement. The structural analysis of the pairs of original models and their intersections is performed to determine which structural parameters can be used to determine a poor agreement between the pairs of models. It is concluded that an application of the automated comparison and intersection generation of two models can give a fast insight in the similarity of the models to find out the consensus level in modelling of metabolism of a particular organism. This approach can be used also to find similarities between the models of different organisms. Automation of intersection creation and structural analysis are enabling technologies of this approach.
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通过交叉的结构分析来评估生化途径模型的一致性
在模型开发的情况下,评估可用模型的质量,寻找最好的模型,或者找到已发布模型的合适部分来构建新模型,这将是一个优势。重构中的差异或矛盾可以表明不同作者对感兴趣的主题的一致程度。模型的相交部分也可以揭示模型范围的差异。对BioCyc数据库中的两对模型进行分析:1)大肠杆菌模型ecol199310cyc和ecol316407cyc; 2)酿酒酵母模型iND750和iLL672。使用ModeRator软件工具对模型进行比较,生成它们的交集模型。利用BINESA软件对模型的结构参数进行了分析。该研究揭示了大肠杆菌和酿酒葡萄球菌模型对相交的非常不同的参数。由同一组作者建立的模型,如大肠杆菌的例子,被选为模型之间高度一致的例子,可以解释为两个初始模型的共识部分。交叉模型的结构特性差异很大,即使经过显著改进,交叉模型也无法发挥作用。对原始模型对及其交点进行结构分析,以确定哪些结构参数可以用来确定模型对之间的一致性较差。结果表明,应用两个模型的自动比较和交叉生成可以快速地了解模型的相似度,从而找出特定生物体代谢建模的一致水平。这种方法也可以用来发现不同生物模型之间的相似性。交叉口创建自动化和结构分析是实现该方法的技术。
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