Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network

By Iman Famili, Jochen Förster, Jens Nielsen, Bernhard O. Palsson. Proceedings of the National Academy of Sciences of the United States of America, 2003

385 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8cbeade8741a4bc938df4e9fabaeede9b8217458

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

In Molecular Biology

Citations in the corpus

Genome-scale models of microbial cells: evaluating the consequences of constraints (2004, methodology): “The enumeration of optimal biochemical-reaction network states has been used to study several organisms including: Saccharolytic clostridium 39 , E. coli 40–42 , H.pylori 43 , Haemophilus influenzae 44,45 and Saccharomyces cerevisiae 46–48 .”
iMAT: an integrative metabolic analysis tool (2010, neutral): “Received on July 18, 2010; revised on September 20, 2010; accepted on October 18, 2010”
Shifts in growth strategies reflect tradeoffs in cellular economics (2009, methodology): “Thislicencedoesnot permit commercial exploitation without specific permission.”
Metabolomics by numbers: acquiring and understanding global metabolite data. (2004, background): “† Databases that integrate genome and metabolome data with an ability to model metabolic fluxes [ 75 ,76].”
Evolutionary programming as a platform for in silico metabolic engineering (2005, background): “Since several microbial metabolic networks have evolved towards operation of optimal growth rate [ 15-18 ], the use optimization of growth rate is an often applied objective function in FBA.”
Applications of genome-scale metabolic reconstructions (2009, background): “…estimates of cellular parameters such as growth yield, specific fluxes (Senger and Papoutsakis, 2008b), P/O ratio, and ATP maintenance costs (Famili et al, 2003), and these theoretical values are often used for hypothesis building or validation in biological studies (Lee et al, 2007;…”
A protocol for generating a high-quality genome-scale metabolic reconstruction (2010, methodology): “Blocked reactions (Steps 76–78): Reactions that cannot carry any flux in any simulation conditions are called blocked reactions.”