OptFlux: an open-source software platform for in silico metabolic engineering

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 produ...

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Detalhes bibliográficos
Autor principal: Rocha, I. (author)
Outros Autores: Maia, Paulo (author), Pinto, José Pedro Basto Gouveia Pereira (author), Vilaça, Paulo Ricardo Carvalho (author), Soares, Simão Pedro Pinho (author), Nielsen, J. (author), Patil, K. R. (author), Ferreira, Eugénio C. (author), Rocha, Miguel (author), Evangelista, Pedro Tiago (author)
Formato: conferencePoster
Idioma:eng
Publicado em: 2010
Texto completo:http://hdl.handle.net/1822/56936
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/56936
Descrição
Resumo: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.