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

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 meas...

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Autores principales: Tanevski, Jovan, Todorovski, Ljupčo, Kalaidzidis, Yannis, Džeroski, Sašo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482292/
https://www.ncbi.nlm.nih.gov/pubmed/26112042
http://dx.doi.org/10.1186/s12918-015-0175-x
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author Tanevski, Jovan
Todorovski, Ljupčo
Kalaidzidis, Yannis
Džeroski, Sašo
author_facet Tanevski, Jovan
Todorovski, Ljupčo
Kalaidzidis, Yannis
Džeroski, Sašo
author_sort Tanevski, Jovan
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-015-0175-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-44822922015-06-27 Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis Tanevski, Jovan Todorovski, Ljupčo Kalaidzidis, Yannis Džeroski, Sašo BMC Syst Biol Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-015-0175-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-26 /pmc/articles/PMC4482292/ /pubmed/26112042 http://dx.doi.org/10.1186/s12918-015-0175-x Text en © Tanevski et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tanevski, Jovan
Todorovski, Ljupčo
Kalaidzidis, Yannis
Džeroski, Sašo
Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title_full Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title_fullStr Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title_full_unstemmed Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title_short Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
title_sort domain-specific model selection for structural identification of the rab5-rab7 dynamics in endocytosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482292/
https://www.ncbi.nlm.nih.gov/pubmed/26112042
http://dx.doi.org/10.1186/s12918-015-0175-x
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