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用于内吞作用中Rab5-Rab7动力学结构识别的特定领域模型选择。

Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis.

作者信息

Tanevski Jovan, Todorovski Ljupčo, Kalaidzidis Yannis, Džeroski Sašo

机构信息

Jožef Stefan Institute, Jamova cesta 39, Ljubljana, 1000, Slovenia.

Jožef Stefan International Postgraduate School, Jamova cesta 39, Ljubljana, 1000, Slovenia.

出版信息

BMC Syst Biol. 2015 Jun 26;9:31. doi: 10.1186/s12918-015-0175-x.

Abstract

BACKGROUND

Given its recent rapid development and the central role that modeling plays in the discipline, systems biology clearly needs methods for automated modeling of dynamical systems. Process-based modeling focuses on explanatory models of dynamical systems; it constructs such models from measured time-course data and formalized modeling knowledge. In this paper, we apply process-based modeling to the practically relevant task of modeling the Rab5-Rab7 conversion switch in endocytosis. The task is difficult due to the limited observability of the system variables and the noisy measurements, which pose serious challenges to the process of model selection. To address these issues, we propose a domain-specific model selection criteria that take into account knowledge about the necessary properties of the simulated model behavior.

RESULTS

In a series of modeling experiments, we compare the results of process-based modeling obtained with different model selection criteria. The first is the standard maximum likelihood criterion based solely on least-squares model error. The second one is a parsimony-based criterion that also takes into account model complexity. We also introduce three domain-specific criteria based on domain expert expectations about the simulated behavior of an endocytosis model. According to the first criterion, 90 of the candidate models are indistinguishable. Furthermore, taking into account the complexity of the model does not lead to better model selection. However, the use of domain-specific criteria results in a remarkable improvement over the other two model selection criteria.

CONCLUSIONS

We demonstrate the applicability of process-based modeling to the task of modeling the Rab5-Rab7 dynamics in endocytosis. Our experiments show that the domain-specific criteria outperform the standard domain-independent criteria for model selection. We also find that some of the model structures discarded as implausible in previous studies lead to the expected Rab5-Rab7 switch behavior.

摘要

背景

鉴于其最近的快速发展以及建模在该学科中所起的核心作用,系统生物学显然需要用于动态系统自动建模的方法。基于过程的建模专注于动态系统的解释性模型;它从测量的时程数据和形式化的建模知识构建此类模型。在本文中,我们将基于过程的建模应用于内吞作用中Rab5 - Rab7转换开关建模这一实际相关任务。由于系统变量的可观测性有限以及测量存在噪声,该任务具有挑战性,这对模型选择过程构成了严峻挑战。为了解决这些问题,我们提出了一种特定领域的模型选择标准,该标准考虑了关于模拟模型行为必要属性的知识。

结果

在一系列建模实验中,我们比较了使用不同模型选择标准获得的基于过程的建模结果。第一个是仅基于最小二乘模型误差的标准最大似然准则。第二个是基于简约性的准则,该准则也考虑了模型复杂性。我们还引入了基于领域专家对胞吞作用模型模拟行为期望的三个特定领域准则。根据第一个准则,90个候选模型无法区分。此外,考虑模型复杂性并不会导致更好的模型选择。然而,使用特定领域准则比其他两个模型选择准则有显著改进。

结论

我们证明了基于过程的建模在内吞作用中Rab5 - Rab7动力学建模任务中的适用性。我们的实验表明,特定领域准则在模型选择方面优于标准的与领域无关的准则。我们还发现,一些在先前研究中被认为不合理而被舍弃的模型结构会导致预期的Rab5 - Rab7开关行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6b0/4482292/8355444b89ea/12918_2015_175_Fig1_HTML.jpg

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