Population FBA predicts metabolic phenotypes in yeast.
Using protein counts sampled from single cell proteomics distributions to constrain fluxes through a genome-scale model of metabolism, Population flux balance analysis (Population FBA) successfully described metabolic heterogeneity in a population of independent Escherichia coli cells growing in a d...
Main Authors: | Piyush Labhsetwar, Marcelo C R Melo, John A Cole, Zaida Luthey-Schulten |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-09-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC5626512?pdf=render |
Similar Items
-
Parametric studies of metabolic cooperativity in Escherichia coli colonies: Strain and geometric confinement effects.
by: Joseph R Peterson, et al.
Published: (2017-01-01) -
Correction: Parametric studies of metabolic cooperativity in Escherichia coli colonies: Strain and geometric confinement effects.
by: Joseph R Peterson, et al.
Published: (2017-01-01) -
Donald Russell, FBA
by: Finglass, Patrick J.
Published: (2020-12-01) -
Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA.
by: Matthew B Biggs, et al.
Published: (2017-03-01) -
Dynamics of chromosome organization in a minimal bacterial cell
by: Benjamin R. Gilbert, et al.
Published: (2023-08-01)