New tools for the simulation and optimization of microbes in metabolic engineering problems
| Main Author: | |
|---|---|
| Publication Date: | 2012 |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/62661 |
Summary: | [Excerpt] Industrial Biotechnology is increasingly replacing chemical processes in numerous industrial sectors since it allows the use of renewable raw-materials and provides a more sustainable manu facturing base. The field of Metabolic Engineering (ME) has thus gained a major importance since it allows the design of improved microorganisms for industrial applications, starting with wild-type strains that usually have low production capabilities in terms of the target compounds. The ultimate aim of ME is to identify genetic manipulations in silica leading to improved microbial strains, that can be implemented using novel molecular biology techniques. This task, however, is a complex one, requiring the existence of reliable (genome-scale-) metabolic models for strain simulation and robust optimization algori hms for target identification. [...] |
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New tools for the simulation and optimization of microbes in metabolic engineering problems[Excerpt] Industrial Biotechnology is increasingly replacing chemical processes in numerous industrial sectors since it allows the use of renewable raw-materials and provides a more sustainable manu facturing base. The field of Metabolic Engineering (ME) has thus gained a major importance since it allows the design of improved microorganisms for industrial applications, starting with wild-type strains that usually have low production capabilities in terms of the target compounds. The ultimate aim of ME is to identify genetic manipulations in silica leading to improved microbial strains, that can be implemented using novel molecular biology techniques. This task, however, is a complex one, requiring the existence of reliable (genome-scale-) metabolic models for strain simulation and robust optimization algori hms for target identification. [...]info:eu-repo/semantics/publishedVersionUniversidade do MinhoRocha, I.2012-03-082012-03-08T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/62661engRocha, Isabel, New tools for the simulation and optimization of microbes in metabolic engineering problems. XIII JBA - Jornadas de Biologia Aplicada. Braga, Portugal, Mar 8-10, 18-19, 2012.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:RCAAP2024-05-11T05:22:25Zoai:repositorium.sdum.uminho.pt:1822/62661Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:16:15.267304Repositórios 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 |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| title |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| spellingShingle |
New tools for the simulation and optimization of microbes in metabolic engineering problems Rocha, I. |
| title_short |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| title_full |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| title_fullStr |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| title_full_unstemmed |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| title_sort |
New tools for the simulation and optimization of microbes in metabolic engineering problems |
| author |
Rocha, I. |
| author_facet |
Rocha, I. |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Rocha, I. |
| description |
[Excerpt] Industrial Biotechnology is increasingly replacing chemical processes in numerous industrial sectors since it allows the use of renewable raw-materials and provides a more sustainable manu facturing base. The field of Metabolic Engineering (ME) has thus gained a major importance since it allows the design of improved microorganisms for industrial applications, starting with wild-type strains that usually have low production capabilities in terms of the target compounds. The ultimate aim of ME is to identify genetic manipulations in silica leading to improved microbial strains, that can be implemented using novel molecular biology techniques. This task, however, is a complex one, requiring the existence of reliable (genome-scale-) metabolic models for strain simulation and robust optimization algori hms for target identification. [...] |
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2012 |
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2012-03-08 2012-03-08T00:00:00Z |
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conference object |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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http://hdl.handle.net/1822/62661 |
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http://hdl.handle.net/1822/62661 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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Rocha, Isabel, New tools for the simulation and optimization of microbes in metabolic engineering problems. XIII JBA - Jornadas de Biologia Aplicada. Braga, Portugal, Mar 8-10, 18-19, 2012. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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