New tools for the simulation and optimization of microbes in metabolic engineering problems

Bibliographic Details
Main Author: Rocha, I.
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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spelling 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. [...]
publishDate 2012
dc.date.none.fl_str_mv 2012-03-08
2012-03-08T00:00:00Z
dc.type.driver.fl_str_mv conference object
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/62661
url http://hdl.handle.net/1822/62661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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