Detalhes do Documento

A study on the robustness of strain optimization algorithms

Autor(es): Vilaça, Paulo cv logo 1 ; Maia, Paulo cv logo 2 ; Rocha, Miguel cv logo 3

Data: 2011

Identificador Persistente: http://hdl.handle.net/1822/14344

Origem: RepositóriUM - Universidade do Minho


Descrição
5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011), ISBN 978-3-642-19913-4 In recent years, there have been considerable advances in the use of genome-scale metabolic models to provide accurate phenotype simulation methods, which in turn enabled the development of efficient strain optimization algorithms for Metabolic Engineering. In this work, we address some of the limitations of previous studies regarding strain optimization algorithms, mainly its use of Flux Balance Analysis in the simulation layer.We perform a thorough analysis of previous results by relying on Flux Variability Analysis and on alternative methods for phenotype simulation, such as ROOM. This last method is also used in the simulation layer, as a basis for optimization, and the results obtained are also the target of thorough analysis and comparison with previous ones.
Tipo de Documento Artigo
Idioma Inglês
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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia