Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/60616
Título: | Comparison of pathway analysis and constraint-based methods for cell factory design |
Autor(es): | Vieira, Vítor Maia, Paulo Rocha, Miguel Rocha, I. |
Palavras-chave: | Genome-scale metabolic models Computational strain design Metabolic pathway analysis Evolutionary algorithms Minimal cut sets Growth-coupled product synthesis |
Data: | 20-Jun-2019 |
Editora: | Springer Nature |
Revista: | BMC Bioinformatics |
Citação: | Vieira, Vítor; Maia, Paulo; Rocha, Miguel; Rocha, Isabel, Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinformatics, 20(350), 2019 |
Resumo(s): | Computational strain optimisation methods (CSOMs) have been successfully used to exploit genome-scale metabolic models, yielding strategies useful for allowing compound overproduction in metabolic cell factories. Minimal cut sets are particularly interesting since their definition allows searching for intervention strategies that impose strong growth-coupling phenotypes, and are not subject to optimality bias when compared with simulation-based CSOMs. However, since both types of methods have different underlying principles, they also imply different ways to formulate metabolic engineering problems, posing an obstacle when comparing their outputs. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/60616 |
DOI: | 10.1186/s12859-019-2934-y |
ISSN: | 1471-2105 |
e-ISSN: | 1471-2105 |
Versão da editora: | https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2934-y |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_51764_1.pdf | 1,43 MB | Adobe PDF | Ver/Abrir |