OptFlux: an open-source software platform for in silico metabolic engineering
Main Author: | |
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Publication Date: | 2010 |
Other Authors: | , , , , , , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/56936 |
Summary: | OptFlux is a new platform aimed at being the reference computational tool for Metabolic Engineering (ME) applications. It allows the use of stoichiometric models of microbial metabolism for simulationandoptimizationpurposes.ME deals with designingorganismswith enhancedcapabilitiesregarding the productivities ofdesired compounds. Different approaches have been used to aid in ME efforts taking available models of metabolism and mathematical tools and/or experimental data to identify metabolic bottlenecks or targets for genetic engineering. However, the rational design of microbial strains has been limited to the developers of the computational/mathematical techniques, since a platform that provides a userfriendly interfaceto perform suchtaskswas notyet available. Tochangethis scenario,we introduce the OptFlux,whose mainfeaturesare: - Open-source– userscanusethe tool freely andinvites thecontribution ofotherresearchers; - User-friendly –facilitates its usebyuserswith no/little backgroundin modelling/informatics; - Modular – facilitates the addition ofnewfeatures; - Compatiblewith standards–compatibilitywith the SystemsBiologyMarkup Language(SBML) and the layout informationofCellDesigner. Currently, the methods implemented for the simulation of wild-type or mutant strains are Flux Balance Analysis, Minimization of Metabolic Adjustment (MOMA), and Regulatory on/off Minimization ofMetabolic flux changes(ROOM). The optimization tasks, i.e., the identification of metabolic engineering targets can be performed with Evolutionary Algorithms or Simulated Annealing[1,2]. Furthermore, the software includes plug-ins to handleElementaryFluxModes andMetabolic FluxAnalysis. Thesoftware is madeavailable, togetherwith otherresources,in the homepage:http://www.optflux.org. |
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OptFlux: an open-source software platform for in silico metabolic engineeringOptFlux is a new platform aimed at being the reference computational tool for Metabolic Engineering (ME) applications. It allows the use of stoichiometric models of microbial metabolism for simulationandoptimizationpurposes.ME deals with designingorganismswith enhancedcapabilitiesregarding the productivities ofdesired compounds. Different approaches have been used to aid in ME efforts taking available models of metabolism and mathematical tools and/or experimental data to identify metabolic bottlenecks or targets for genetic engineering. However, the rational design of microbial strains has been limited to the developers of the computational/mathematical techniques, since a platform that provides a userfriendly interfaceto perform suchtaskswas notyet available. Tochangethis scenario,we introduce the OptFlux,whose mainfeaturesare: - Open-source– userscanusethe tool freely andinvites thecontribution ofotherresearchers; - User-friendly –facilitates its usebyuserswith no/little backgroundin modelling/informatics; - Modular – facilitates the addition ofnewfeatures; - Compatiblewith standards–compatibilitywith the SystemsBiologyMarkup Language(SBML) and the layout informationofCellDesigner. Currently, the methods implemented for the simulation of wild-type or mutant strains are Flux Balance Analysis, Minimization of Metabolic Adjustment (MOMA), and Regulatory on/off Minimization ofMetabolic flux changes(ROOM). The optimization tasks, i.e., the identification of metabolic engineering targets can be performed with Evolutionary Algorithms or Simulated Annealing[1,2]. Furthermore, the software includes plug-ins to handleElementaryFluxModes andMetabolic FluxAnalysis. Thesoftware is madeavailable, togetherwith otherresources,in the homepage:http://www.optflux.org.info:eu-repo/semantics/publishedVersionUniversidade do MinhoRocha, I.Maia, PauloPinto, José Pedro Basto Gouveia PereiraVilaça, Paulo Ricardo CarvalhoSoares, Simão Pedro PinhoNielsen, J.Patil, K. R.Ferreira, Eugénio C.Rocha, MiguelEvangelista, Pedro Tiago2010-03-222010-03-22T00:00:00Zconference posterinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/56936engRocha, Isabel; Maia, Paulo; Evangelista, P.; Vilaça, P.; Simão Soares; Pinto, J. P.; Nielsen, J.; Patil, K. R.; Ferreira, Eugénio C.; Rocha, Miguel, OptFlux: an open-source software platform for in silico metabolic engineering. International Symposium on Integrative Bioinformatics - 6th Annual Meeting. Cambridge, UK, 22nd-24th March, 2010.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:30:17Zoai:repositorium.sdum.uminho.pt:1822/56936Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:50:07.456966Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
OptFlux: an open-source software platform for in silico metabolic engineering |
title |
OptFlux: an open-source software platform for in silico metabolic engineering |
spellingShingle |
OptFlux: an open-source software platform for in silico metabolic engineering Rocha, I. |
title_short |
OptFlux: an open-source software platform for in silico metabolic engineering |
title_full |
OptFlux: an open-source software platform for in silico metabolic engineering |
title_fullStr |
OptFlux: an open-source software platform for in silico metabolic engineering |
title_full_unstemmed |
OptFlux: an open-source software platform for in silico metabolic engineering |
title_sort |
OptFlux: an open-source software platform for in silico metabolic engineering |
author |
Rocha, I. |
author_facet |
Rocha, I. Maia, Paulo Pinto, José Pedro Basto Gouveia Pereira Vilaça, Paulo Ricardo Carvalho Soares, Simão Pedro Pinho Nielsen, J. Patil, K. R. Ferreira, Eugénio C. Rocha, Miguel Evangelista, Pedro Tiago |
author_role |
author |
author2 |
Maia, Paulo Pinto, José Pedro Basto Gouveia Pereira Vilaça, Paulo Ricardo Carvalho Soares, Simão Pedro Pinho Nielsen, J. Patil, K. R. Ferreira, Eugénio C. Rocha, Miguel Evangelista, Pedro Tiago |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rocha, I. Maia, Paulo Pinto, José Pedro Basto Gouveia Pereira Vilaça, Paulo Ricardo Carvalho Soares, Simão Pedro Pinho Nielsen, J. Patil, K. R. Ferreira, Eugénio C. Rocha, Miguel Evangelista, Pedro Tiago |
description |
OptFlux is a new platform aimed at being the reference computational tool for Metabolic Engineering (ME) applications. It allows the use of stoichiometric models of microbial metabolism for simulationandoptimizationpurposes.ME deals with designingorganismswith enhancedcapabilitiesregarding the productivities ofdesired compounds. Different approaches have been used to aid in ME efforts taking available models of metabolism and mathematical tools and/or experimental data to identify metabolic bottlenecks or targets for genetic engineering. However, the rational design of microbial strains has been limited to the developers of the computational/mathematical techniques, since a platform that provides a userfriendly interfaceto perform suchtaskswas notyet available. Tochangethis scenario,we introduce the OptFlux,whose mainfeaturesare: - Open-source– userscanusethe tool freely andinvites thecontribution ofotherresearchers; - User-friendly –facilitates its usebyuserswith no/little backgroundin modelling/informatics; - Modular – facilitates the addition ofnewfeatures; - Compatiblewith standards–compatibilitywith the SystemsBiologyMarkup Language(SBML) and the layout informationofCellDesigner. Currently, the methods implemented for the simulation of wild-type or mutant strains are Flux Balance Analysis, Minimization of Metabolic Adjustment (MOMA), and Regulatory on/off Minimization ofMetabolic flux changes(ROOM). The optimization tasks, i.e., the identification of metabolic engineering targets can be performed with Evolutionary Algorithms or Simulated Annealing[1,2]. Furthermore, the software includes plug-ins to handleElementaryFluxModes andMetabolic FluxAnalysis. Thesoftware is madeavailable, togetherwith otherresources,in the homepage:http://www.optflux.org. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-03-22 2010-03-22T00:00:00Z |
dc.type.driver.fl_str_mv |
conference poster |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/56936 |
url |
http://hdl.handle.net/1822/56936 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rocha, Isabel; Maia, Paulo; Evangelista, P.; Vilaça, P.; Simão Soares; Pinto, J. P.; Nielsen, J.; Patil, K. R.; Ferreira, Eugénio C.; Rocha, Miguel, OptFlux: an open-source software platform for in silico metabolic engineering. International Symposium on Integrative Bioinformatics - 6th Annual Meeting. Cambridge, UK, 22nd-24th March, 2010. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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