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A Multi-Scale Approach to Modeling E. coli Chemotaxis

The degree to which we can understand the multi-scale organization of cellular life is tied to how well our models can represent this organization and the processes that drive its evolution. This paper uses Vivarium—an engine for composing heterogeneous computational biology models into integrated,...

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Detalles Bibliográficos
Autores principales: Agmon, Eran, Spangler, Ryan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597207/
https://www.ncbi.nlm.nih.gov/pubmed/33286869
http://dx.doi.org/10.3390/e22101101
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author Agmon, Eran
Spangler, Ryan K.
author_facet Agmon, Eran
Spangler, Ryan K.
author_sort Agmon, Eran
collection PubMed
description The degree to which we can understand the multi-scale organization of cellular life is tied to how well our models can represent this organization and the processes that drive its evolution. This paper uses Vivarium—an engine for composing heterogeneous computational biology models into integrated, multi-scale simulations. Vivarium’s approach is demonstrated by combining several sub-models of biophysical processes into a model of chemotactic E. coli that exchange molecules with their environment, express the genes required for chemotaxis, swim, grow, and divide. This model is developed incrementally, highlighting cross-compartment mechanisms that link E. coli to its environment, with models for: (1) metabolism and transport, with transport moving nutrients across the membrane boundary and metabolism converting them to useful metabolites, (2) transcription, translation, complexation, and degradation, with stochastic mechanisms that read real gene sequence data and consume base pairs and ATP to make proteins and complexes, and (3) the activity of flagella and chemoreceptors, which together support navigation in the environment.
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spelling pubmed-75972072020-11-09 A Multi-Scale Approach to Modeling E. coli Chemotaxis Agmon, Eran Spangler, Ryan K. Entropy (Basel) Article The degree to which we can understand the multi-scale organization of cellular life is tied to how well our models can represent this organization and the processes that drive its evolution. This paper uses Vivarium—an engine for composing heterogeneous computational biology models into integrated, multi-scale simulations. Vivarium’s approach is demonstrated by combining several sub-models of biophysical processes into a model of chemotactic E. coli that exchange molecules with their environment, express the genes required for chemotaxis, swim, grow, and divide. This model is developed incrementally, highlighting cross-compartment mechanisms that link E. coli to its environment, with models for: (1) metabolism and transport, with transport moving nutrients across the membrane boundary and metabolism converting them to useful metabolites, (2) transcription, translation, complexation, and degradation, with stochastic mechanisms that read real gene sequence data and consume base pairs and ATP to make proteins and complexes, and (3) the activity of flagella and chemoreceptors, which together support navigation in the environment. MDPI 2020-09-29 /pmc/articles/PMC7597207/ /pubmed/33286869 http://dx.doi.org/10.3390/e22101101 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Agmon, Eran
Spangler, Ryan K.
A Multi-Scale Approach to Modeling E. coli Chemotaxis
title A Multi-Scale Approach to Modeling E. coli Chemotaxis
title_full A Multi-Scale Approach to Modeling E. coli Chemotaxis
title_fullStr A Multi-Scale Approach to Modeling E. coli Chemotaxis
title_full_unstemmed A Multi-Scale Approach to Modeling E. coli Chemotaxis
title_short A Multi-Scale Approach to Modeling E. coli Chemotaxis
title_sort multi-scale approach to modeling e. coli chemotaxis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597207/
https://www.ncbi.nlm.nih.gov/pubmed/33286869
http://dx.doi.org/10.3390/e22101101
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