A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis

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

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Main Authors: Eran Agmon, Ryan K. Spangler
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/10/1101
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spelling doaj-b8c74ddbbf184e169009491e472ede7b2020-11-25T03:25:59ZengMDPI AGEntropy1099-43002020-09-01221101110110.3390/e22101101A Multi-Scale Approach to Modeling <i>E. coli</i> ChemotaxisEran Agmon0Ryan K. Spangler1Department of Bioengineering, Stanford University, Stanford, CA 94305, USADepartment of Bioengineering, Stanford University, Stanford, CA 94305, USAThe degree to which we can understand the multi-scale organization of cellular life is tied<br />to how well our models can represent this organization and the processes that drive its evolution.<br />This paper uses Vivarium—an engine for composing heterogeneous computational biology models<br />into integrated, multi-scale simulations. Vivarium’s approach is demonstrated by combining several<br />sub-models of biophysical processes into a model of chemotactic E. coli that exchange molecules with<br />their environment, express the genes required for chemotaxis, swim, grow, and divide. This model<br />is developed incrementally, highlighting cross-compartment mechanisms that link E. coli to its<br />environment, with models for: (1) metabolism and transport, with transport moving nutrients across<br />the membrane boundary and metabolism converting them to useful metabolites, (2) transcription,<br />translation, complexation, and degradation, with stochastic mechanisms that read real gene sequence<br />data and consume base pairs and ATP to make proteins and complexes, and (3) the activity of flagella<br />and chemoreceptors, which together support navigation in the environment.https://www.mdpi.com/1099-4300/22/10/1101Escherichia colichemotaxiscomputational systems biologymulti-scale simulationmodel integration
collection DOAJ
language English
format Article
sources DOAJ
author Eran Agmon
Ryan K. Spangler
spellingShingle Eran Agmon
Ryan K. Spangler
A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
Entropy
Escherichia coli
chemotaxis
computational systems biology
multi-scale simulation
model integration
author_facet Eran Agmon
Ryan K. Spangler
author_sort Eran Agmon
title A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
title_short A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
title_full A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
title_fullStr A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
title_full_unstemmed A Multi-Scale Approach to Modeling <i>E. coli</i> Chemotaxis
title_sort multi-scale approach to modeling <i>e. coli</i> chemotaxis
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2020-09-01
description The degree to which we can understand the multi-scale organization of cellular life is tied<br />to how well our models can represent this organization and the processes that drive its evolution.<br />This paper uses Vivarium—an engine for composing heterogeneous computational biology models<br />into integrated, multi-scale simulations. Vivarium’s approach is demonstrated by combining several<br />sub-models of biophysical processes into a model of chemotactic E. coli that exchange molecules with<br />their environment, express the genes required for chemotaxis, swim, grow, and divide. This model<br />is developed incrementally, highlighting cross-compartment mechanisms that link E. coli to its<br />environment, with models for: (1) metabolism and transport, with transport moving nutrients across<br />the membrane boundary and metabolism converting them to useful metabolites, (2) transcription,<br />translation, complexation, and degradation, with stochastic mechanisms that read real gene sequence<br />data and consume base pairs and ATP to make proteins and complexes, and (3) the activity of flagella<br />and chemoreceptors, which together support navigation in the environment.
topic Escherichia coli
chemotaxis
computational systems biology
multi-scale simulation
model integration
url https://www.mdpi.com/1099-4300/22/10/1101
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AT ryankspangler amultiscaleapproachtomodelingiecoliichemotaxis
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AT ryankspangler multiscaleapproachtomodelingiecoliichemotaxis
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