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Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle

One of the main obstacles to understanding complex biological systems is the extent and rapid evolution of information, way beyond the capacity individuals to manage and comprehend. Current modeling approaches and tools lack adequate capacity to model concurrently structure and behavior of biologica...

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Detalles Bibliográficos
Autores principales: Dori, Dov, Choder, Mordechai
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1964809/
https://www.ncbi.nlm.nih.gov/pubmed/17849002
http://dx.doi.org/10.1371/journal.pone.0000872
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author Dori, Dov
Choder, Mordechai
author_facet Dori, Dov
Choder, Mordechai
author_sort Dori, Dov
collection PubMed
description One of the main obstacles to understanding complex biological systems is the extent and rapid evolution of information, way beyond the capacity individuals to manage and comprehend. Current modeling approaches and tools lack adequate capacity to model concurrently structure and behavior of biological systems. Here we propose Object-Process Methodology (OPM), a holistic conceptual modeling paradigm, as a means to model both diagrammatically and textually biological systems formally and intuitively at any desired number of levels of detail. OPM combines objects, e.g., proteins, and processes, e.g., transcription, in a way that is simple and easily comprehensible to researchers and scholars. As a case in point, we modeled the yeast mRNA lifecycle. The mRNA lifecycle involves mRNA synthesis in the nucleus, mRNA transport to the cytoplasm, and its subsequent translation and degradation therein. Recent studies have identified specific cytoplasmic foci, termed processing bodies that contain large complexes of mRNAs and decay factors. Our OPM model of this cellular subsystem, presented here, led to the discovery of a new constituent of these complexes, the translation termination factor eRF3. Association of eRF3 with processing bodies is observed after a long-term starvation period. We suggest that OPM can eventually serve as a comprehensive evolvable model of the entire living cell system. The model would serve as a research and communication platform, highlighting unknown and uncertain aspects that can be addressed empirically and updated consequently while maintaining consistency.
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spelling pubmed-19648092007-09-12 Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle Dori, Dov Choder, Mordechai PLoS One Research Article One of the main obstacles to understanding complex biological systems is the extent and rapid evolution of information, way beyond the capacity individuals to manage and comprehend. Current modeling approaches and tools lack adequate capacity to model concurrently structure and behavior of biological systems. Here we propose Object-Process Methodology (OPM), a holistic conceptual modeling paradigm, as a means to model both diagrammatically and textually biological systems formally and intuitively at any desired number of levels of detail. OPM combines objects, e.g., proteins, and processes, e.g., transcription, in a way that is simple and easily comprehensible to researchers and scholars. As a case in point, we modeled the yeast mRNA lifecycle. The mRNA lifecycle involves mRNA synthesis in the nucleus, mRNA transport to the cytoplasm, and its subsequent translation and degradation therein. Recent studies have identified specific cytoplasmic foci, termed processing bodies that contain large complexes of mRNAs and decay factors. Our OPM model of this cellular subsystem, presented here, led to the discovery of a new constituent of these complexes, the translation termination factor eRF3. Association of eRF3 with processing bodies is observed after a long-term starvation period. We suggest that OPM can eventually serve as a comprehensive evolvable model of the entire living cell system. The model would serve as a research and communication platform, highlighting unknown and uncertain aspects that can be addressed empirically and updated consequently while maintaining consistency. Public Library of Science 2007-09-12 /pmc/articles/PMC1964809/ /pubmed/17849002 http://dx.doi.org/10.1371/journal.pone.0000872 Text en Dori, Choder. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dori, Dov
Choder, Mordechai
Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title_full Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title_fullStr Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title_full_unstemmed Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title_short Conceptual Modeling in Systems Biology Fosters Empirical Findings: The mRNA Lifecycle
title_sort conceptual modeling in systems biology fosters empirical findings: the mrna lifecycle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1964809/
https://www.ncbi.nlm.nih.gov/pubmed/17849002
http://dx.doi.org/10.1371/journal.pone.0000872
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