Constrained Allocation Flux Balance Analysis-Reference-Cited by-同舟云学术

Constrained Allocation Flux Balance Analysis

Published:2016-06-29 Issue:6 Volume:12 Page:e1004913
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Mori Matteo,Hwa Terence,Martin Olivier C.,De Martino Andrea,Marinari Enzo

Funder

Istituto Italiano di Tecnologia (IIT)

Marie Curie Action ITN

Italian Ministry of University and Research

Simons Foundation (US)

Investissement d’Avenir Bio-informatique

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference75 articles.

1. The growth of bacterial cultures;J Monod;Ann Rev Microbiol,1949

2. Dependency on medium and temperature of cell size and chemical composition during balanced growth of Salmonella typhimurium;M Schaechter;J Gen Microbiol,1958

3. The distribution of soluble and ribosomal RNA as a function of growth rate;N Kjeldgaard;J Mol Biol,1963

4. Modulation of chemical composition and other parameters of the cell by growth rate;H Bremer;Escherichia coli and Salmonella: Cellular and Molecular Biology,1996

5. Interdependence of cell growth and gene expression: origins and consequences;M Scott;Science,2010

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