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DataTítuloAutor(es)TipoAcesso
2008Design and application of genome-scale reconstructed metabolic modelsRocha, I.; Förster, Jochen; Nielsen, JensbookPartrestrictedAccess
Dez-2005Evolutionary programming as a platform for in silico metabolic engineeringPatil, Kiran Raosaheb; Rocha, I.; Förster, Jochen, et al.articleopenAccess
Jan-2002Fermentation performance and intracellular metabolite patterns in laboratory and industrial xylose-fermenting Saccharomyces cerevisiaeZaldivar, J.; Borges, A.; Johansson, Björn, et al.articleopenAccess
2018Guidelines and recommendations on yeast cell death nomenclatureCarmona-Gutierrez, Didac; Bauer, Maria Anna; Zimmermann, Andreas, et al.articleopenAccess
1-Out-2006An improved evolutionary algorithm-based framework for identifying in silico metabolic engineering targetsRocha, I.; Rocha, Miguel; Ferreira, E. C., et al.conferenceAbstractopenAccess
Dez-2016Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiaePereira, R.; Nielsen, Jens; Rocha, IsabelarticleopenAccess
2014Improving the internal flux distributions from genome scale metabolic models of S. cerevisiaePereira, R. M.; Nielsen, Jens; Rocha, I.conferenceAbstractopenAccess
Abr-2018Metabolite secretion in microorganisms: the theory of metabolic overflow put to the testPinu, Farhana R.; Granucci, Ninna; Daniell, James, et al.articleopenAccess
2008Natural computation meta-heuristics for the in silico optimization of microbial strainsRocha, Miguel; Maia, Paulo; Mendes, Rui, et al.articleopenAccess
27-Jun-2009OptFlux: a software for metabolic engineeringRocha, I.; Maia, Paulo; Pinto, José P., et al.conferenceAbstractopenAccess
Abr-2010OptFlux: an open-source software platform for in silico metabolic engineeringRocha, I.; Maia, Paulo; Evangelista, Pedro, et al.articleopenAccess
Jun-2015Production of β‑ionone by combined expression of carotenogenic and plant CCD1 genes in Saccharomyces cerevisiaeLópez, Javiera; Essus, Karen; Kim, Il-kwon, et al.articleopenAccess
8-Jun-2015TDPS - Turnover dependent phenotypic simulation: a quantitative constraint-based simulation method that accommodates all main strain design strategiesPereira, R. M.; Vilaça, Paulo; Nielsen, Jens, et al.conferenceAbstractopenAccess