Computational tools for strain optimization by tuning the optimal level of gene expression
| Main Author: | |
|---|---|
| Publication Date: | 2012 |
| Other Authors: | , |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/23378 |
Summary: | In this work, a plug-in for the OptFlux Metabolic Engineering platform is presented, implementing methods that allow the identification of sets of genes to over/under express, relatively to their wild type levels. The optimization methods used are Simulated Annealing and Evolutionary Algorithms, working with a novel representation and operators. This overcomes the limitations of previous approaches based solely on gene knockouts, bringing new avenues for Biotechnology, fostering the discovery of genetic manipulations able to increase the production of certain compounds using a host microbe. The plug-in is made freely available together with appropriate documentation. |
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Computational tools for strain optimization by tuning the optimal level of gene expressionScience & TechnologyIn this work, a plug-in for the OptFlux Metabolic Engineering platform is presented, implementing methods that allow the identification of sets of genes to over/under express, relatively to their wild type levels. The optimization methods used are Simulated Annealing and Evolutionary Algorithms, working with a novel representation and operators. This overcomes the limitations of previous approaches based solely on gene knockouts, bringing new avenues for Biotechnology, fostering the discovery of genetic manipulations able to increase the production of certain compounds using a host microbe. The plug-in is made freely available together with appropriate documentation.Support of FCT and Programa COMPETE (ref. PTDC/EIA-EIA/ 115176/2009).SpringerSpringer VerlagUniversidade do MinhoGonçalves, EmanuelRocha, I.Rocha, Miguel20122012-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/23378eng97836422883881860-07941615-387110.1007/978-3-642-28839-5_29info: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:RCAAP2024-05-11T06:17:06Zoai:repositorium.sdum.uminho.pt:1822/23378Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:47:38.174406Repositórios 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 |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| title |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| spellingShingle |
Computational tools for strain optimization by tuning the optimal level of gene expression Gonçalves, Emanuel Science & Technology |
| title_short |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| title_full |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| title_fullStr |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| title_full_unstemmed |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| title_sort |
Computational tools for strain optimization by tuning the optimal level of gene expression |
| author |
Gonçalves, Emanuel |
| author_facet |
Gonçalves, Emanuel Rocha, I. Rocha, Miguel |
| author_role |
author |
| author2 |
Rocha, I. Rocha, Miguel |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Gonçalves, Emanuel Rocha, I. Rocha, Miguel |
| dc.subject.por.fl_str_mv |
Science & Technology |
| topic |
Science & Technology |
| description |
In this work, a plug-in for the OptFlux Metabolic Engineering platform is presented, implementing methods that allow the identification of sets of genes to over/under express, relatively to their wild type levels. The optimization methods used are Simulated Annealing and Evolutionary Algorithms, working with a novel representation and operators. This overcomes the limitations of previous approaches based solely on gene knockouts, bringing new avenues for Biotechnology, fostering the discovery of genetic manipulations able to increase the production of certain compounds using a host microbe. The plug-in is made freely available together with appropriate documentation. |
| publishDate |
2012 |
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2012 2012-01-01T00:00:00Z |
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conference paper |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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http://hdl.handle.net/1822/23378 |
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http://hdl.handle.net/1822/23378 |
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eng |
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eng |
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9783642288388 1860-0794 1615-3871 10.1007/978-3-642-28839-5_29 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Springer Springer Verlag |
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Springer Springer Verlag |
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