Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd

Abstract Background Constraint-based metabolic flux analysis of knockout strategies is an efficient method to simulate the production of useful metabolites in microbes. Owing to the recent development of technologies for artificial DNA synthesis, it may become important in the near future to mathema...

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Main Author: Takeyuki Tamura
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-018-2352-6
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spelling doaj-4987612464854d67b08224abd0884d332020-11-24T22:08:11ZengBMCBMC Bioinformatics1471-21052018-09-011911910.1186/s12859-018-2352-6Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProdTakeyuki Tamura0Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityAbstract Background Constraint-based metabolic flux analysis of knockout strategies is an efficient method to simulate the production of useful metabolites in microbes. Owing to the recent development of technologies for artificial DNA synthesis, it may become important in the near future to mathematically design minimum metabolic networks to simulate metabolite production. Results We have developed a computational method where parsimonious metabolic flux distribution is computed for designated constraints on growth and production rates which are represented by grids. When the growth rate of this obtained parsimonious metabolic network is maximized, higher production rates compared to those noted using existing methods are observed for many target metabolites. The set of reactions used in this parsimonious flux distribution consists of reactions included in the original genome scale model iAF1260. The computational experiments show that the grid size affects the obtained production rates. Under the conditions that the growth rate is maximized and the minimum cases of flux variability analysis are considered, the developed method produced more than 90% of metabolites, while the existing methods produced less than 50%. Mathematical explanations using examples are provided to demonstrate potential reasons for the ability of the proposed algorithm to identify design strategies that the existing methods could not identify. Conclusion We developed an efficient method for computing the design of minimum metabolic networks by using constraint-based flux balance analysis to simulate the production of useful metabolites. The source code is freely available, and is implemented in MATLAB and COBRA toolbox.http://link.springer.com/article/10.1186/s12859-018-2352-6Flux balance analysisLinear programmingAlgorithmDesign of metabolic networkConstraint-based modelGrowth rate
collection DOAJ
language English
format Article
sources DOAJ
author Takeyuki Tamura
spellingShingle Takeyuki Tamura
Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
BMC Bioinformatics
Flux balance analysis
Linear programming
Algorithm
Design of metabolic network
Constraint-based model
Growth rate
author_facet Takeyuki Tamura
author_sort Takeyuki Tamura
title Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
title_short Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
title_full Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
title_fullStr Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
title_full_unstemmed Grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: GridProd
title_sort grid-based computational methods for the design of constraint-based parsimonious chemical reaction networks to simulate metabolite production: gridprod
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2018-09-01
description Abstract Background Constraint-based metabolic flux analysis of knockout strategies is an efficient method to simulate the production of useful metabolites in microbes. Owing to the recent development of technologies for artificial DNA synthesis, it may become important in the near future to mathematically design minimum metabolic networks to simulate metabolite production. Results We have developed a computational method where parsimonious metabolic flux distribution is computed for designated constraints on growth and production rates which are represented by grids. When the growth rate of this obtained parsimonious metabolic network is maximized, higher production rates compared to those noted using existing methods are observed for many target metabolites. The set of reactions used in this parsimonious flux distribution consists of reactions included in the original genome scale model iAF1260. The computational experiments show that the grid size affects the obtained production rates. Under the conditions that the growth rate is maximized and the minimum cases of flux variability analysis are considered, the developed method produced more than 90% of metabolites, while the existing methods produced less than 50%. Mathematical explanations using examples are provided to demonstrate potential reasons for the ability of the proposed algorithm to identify design strategies that the existing methods could not identify. Conclusion We developed an efficient method for computing the design of minimum metabolic networks by using constraint-based flux balance analysis to simulate the production of useful metabolites. The source code is freely available, and is implemented in MATLAB and COBRA toolbox.
topic Flux balance analysis
Linear programming
Algorithm
Design of metabolic network
Constraint-based model
Growth rate
url http://link.springer.com/article/10.1186/s12859-018-2352-6
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