The Biomass Objective Function
By Adam M. Feist, Bernhard O. Palsson. Current Opinion in Microbiology, 2010
611 citations recorded by the source corpus.
Abstract / Summary Flux balance analysis (FBA) is a mathematical approach for analyzing the flow of metabolites through a metabolic network. To computationally predict cell growth using FBA, one has to determine the biomass objective function that describes the rate at which all of the biomass precursors are made in the correct proportions. Here we review fundamental issues associated with its formulation and use to compute optimal growth states.
Subfields: Biomedical Engineering, Control and Systems Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/4fbfce0eb58fb5b953b3bd8e4017084fbd4e19d6
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
- Bernhard O. Palsson
- Nathan E. Lewis
- Costas D. Maranas
- Adam M. Feist
- Harish Nagarajan
- Tom M. Conrad
- Joshua A. Lerman
- Jeffrey D. Orth
In Control and Systems Engineering
- Bernhard O. Palsson
- Nathan E. Lewis
- Harish Nagarajan
- Joshua A. Lerman
- Adam M. Feist
- Costas D. Maranas
In Molecular Biology
- Bernhard O. Palsson
- Nathan E. Lewis
- Adam M. Feist
- Joshua A. Lerman
- Harish Nagarajan
- Costas D. Maranas
- Tom M. Conrad
- Jeffrey D. Orth
Citations in the corpus
- A comprehensive genome-scale reconstruction of Escherichia coli metabolism—2011 (2011, background): “These are reactions that drain biomass precursor compounds in experimentally determined ratios to simulate growth (Feist and Palsson, 2010).”
- Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods (2012, background): “For example, as a proxy for growth, a biomass function 9 can be defined, containing all the necessary precursors for synthesizing the cell components for growth (for example, amino acids for proteins and nucleic acids for RNA) (FIG.”
- OptCom: A Multi-Level Optimization Framework for the Metabolic Modeling and Analysis of Microbial Communities (2012, background): “Studies similar to those conducted for mono-cultures that examine and compare various presumed hypotheses on cellular objective function [82,83,84,85,86,87] or algorithms that identify/test a relevant objective function using experimental flux data [88,89] are needed in the context of multi-species ”