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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/10/1101 |
id |
doaj-b8c74ddbbf184e169009491e472ede7b |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT eranagmon amultiscaleapproachtomodelingiecoliichemotaxis AT ryankspangler amultiscaleapproachtomodelingiecoliichemotaxis AT eranagmon multiscaleapproachtomodelingiecoliichemotaxis AT ryankspangler multiscaleapproachtomodelingiecoliichemotaxis |
_version_ |
1724594579891552256 |