Flux balance analysis in the era of metabolomics
By Jong Min Lee, Erwin P. Gianchandani, Jason A. Papin. Briefings Bioinform., 2006
296 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/561e1e34707f7aceccbec82c5543f5493902e714
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Costas D. Maranas
- Bernhard O. Palsson
- Karthik Raman
- Nagasuma R. Chandra
- Jason A. Papin
- Matthew A. Oberhardt
- Daniel Segrè
- Niels Klitgord
Citations in the corpus
- Applications of genome-scale metabolic reconstructions (2009, background): “Many of the constraint-based analyses possible on metabolic GENREs rely on the theory that evolution selects for fitness-optimizing organisms, a concept crystallized with the development of flux balance analysis (FBA) (Maynard Smith, 1978; Lee et al, 2006).”
- Flux balance analysis of biological systems: applications and challenges (2009, background): “Furthermore, FBA can also cope with the uncertainty and incompleteness in metabolomic data, since it allows for the incorporation of partial metabolic information [62].”
- OptForce: An Optimization Procedure for Identifying All Genetic Manipulations Leading to Targeted Overproductions (2010, background): “Flux balance analysis (FBA) has emerged as an important framework [16–19] to assess the metabolic potential of a microbial production system.”
- Environments that Induce Synthetic Microbial Ecosystems (2010, result): “Similar to the cycles of refinement for individual genome scale stoichiometric models [49–51], we expect that the results from biological experimentation can feed back into refinement of models and algorithms for predicting interactions.”