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TNA4OptFlux – a software tool for the analysis of strain optimization strategies

BACKGROUND: Rational approaches for Metabolic Engineering (ME) deal with the identification of modifications that improve the microbes’ production capabilities of target compounds. One of the major challenges created by strain optimization algorithms used in these ME problems is the interpretation o...

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Autores principales: Pinto, José P, Pereira, Rui, Cardoso, João, Rocha, Isabel, Rocha, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658915/
https://www.ncbi.nlm.nih.gov/pubmed/23641878
http://dx.doi.org/10.1186/1756-0500-6-175
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author Pinto, José P
Pereira, Rui
Cardoso, João
Rocha, Isabel
Rocha, Miguel
author_facet Pinto, José P
Pereira, Rui
Cardoso, João
Rocha, Isabel
Rocha, Miguel
author_sort Pinto, José P
collection PubMed
description BACKGROUND: Rational approaches for Metabolic Engineering (ME) deal with the identification of modifications that improve the microbes’ production capabilities of target compounds. One of the major challenges created by strain optimization algorithms used in these ME problems is the interpretation of the changes that lead to a given overproduction. Often, a single gene knockout induces changes in the fluxes of several reactions, as compared with the wild-type, and it is therefore difficult to evaluate the physiological differences of the in silico mutant. This is aggravated by the fact that genome-scale models per se are difficult to visualize, given the high number of reactions and metabolites involved. FINDINGS: We introduce a software tool, the Topological Network Analysis for OptFlux (TNA4OptFlux), a plug-in which adds to the open-source ME platform OptFlux the capability of creating and performing topological analysis over metabolic networks. One of the tool’s major advantages is the possibility of using these tools in the analysis and comparison of simulated phenotypes, namely those coming from the results of strain optimization algorithms. We illustrate the capabilities of the tool by using it to aid the interpretation of two E. coli strains designed in OptFlux for the overproduction of succinate and glycine. CONCLUSIONS: Besides adding new functionalities to the OptFlux software tool regarding topological analysis, TNA4OptFlux methods greatly facilitate the interpretation of non-intuitive ME strategies by automating the comparison between perturbed and non-perturbed metabolic networks. The plug-in is available on the web site http://www.optflux.org, together with extensive documentation.
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spelling pubmed-36589152013-05-21 TNA4OptFlux – a software tool for the analysis of strain optimization strategies Pinto, José P Pereira, Rui Cardoso, João Rocha, Isabel Rocha, Miguel BMC Res Notes Technical Note BACKGROUND: Rational approaches for Metabolic Engineering (ME) deal with the identification of modifications that improve the microbes’ production capabilities of target compounds. One of the major challenges created by strain optimization algorithms used in these ME problems is the interpretation of the changes that lead to a given overproduction. Often, a single gene knockout induces changes in the fluxes of several reactions, as compared with the wild-type, and it is therefore difficult to evaluate the physiological differences of the in silico mutant. This is aggravated by the fact that genome-scale models per se are difficult to visualize, given the high number of reactions and metabolites involved. FINDINGS: We introduce a software tool, the Topological Network Analysis for OptFlux (TNA4OptFlux), a plug-in which adds to the open-source ME platform OptFlux the capability of creating and performing topological analysis over metabolic networks. One of the tool’s major advantages is the possibility of using these tools in the analysis and comparison of simulated phenotypes, namely those coming from the results of strain optimization algorithms. We illustrate the capabilities of the tool by using it to aid the interpretation of two E. coli strains designed in OptFlux for the overproduction of succinate and glycine. CONCLUSIONS: Besides adding new functionalities to the OptFlux software tool regarding topological analysis, TNA4OptFlux methods greatly facilitate the interpretation of non-intuitive ME strategies by automating the comparison between perturbed and non-perturbed metabolic networks. The plug-in is available on the web site http://www.optflux.org, together with extensive documentation. BioMed Central 2013-05-03 /pmc/articles/PMC3658915/ /pubmed/23641878 http://dx.doi.org/10.1186/1756-0500-6-175 Text en Copyright © 2013 Pinto et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Pinto, José P
Pereira, Rui
Cardoso, João
Rocha, Isabel
Rocha, Miguel
TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title_full TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title_fullStr TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title_full_unstemmed TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title_short TNA4OptFlux – a software tool for the analysis of strain optimization strategies
title_sort tna4optflux – a software tool for the analysis of strain optimization strategies
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658915/
https://www.ncbi.nlm.nih.gov/pubmed/23641878
http://dx.doi.org/10.1186/1756-0500-6-175
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