Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction
Abstract Growth is a fundamental process of life. Growth requirements are well‐characterized experimentally for many microbes; however, we lack a unified model for cellular growth. Such a model must be predictive of events at the molecular scale and capable of explaining the high‐level behavior of t...
Saved in:
| Main Authors: | Edward J O'Brien, Joshua A Lerman, Roger L Chang, Daniel R Hyduke, Bernhard Ø Palsson |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2013-10-01
|
| Series: | Molecular Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/msb.2013.52 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genome‐scale metabolic modeling reveals key features of a minimal gene set
by: Jean‐Christophe Lachance, et al.
Published: (2021-07-01) -
An integrative, multi‐scale, genome‐wide model reveals the phenotypic landscape of Escherichia coli
by: Javier Carrera, et al.
Published: (2014-07-01) -
Formulating genome‐scale kinetic models in the post‐genome era
by: Neema Jamshidi, et al.
Published: (2008-03-01) -
Rapid identification of key antibiotic resistance genes in E. coli using high-resolution genome-scale CRISPRi screening
by: Donghui Choe, et al.
Published: (2025-05-01) -
Integration of clinical data with a genome‐scale metabolic model of the human adipocyte
by: Adil Mardinoglu, et al.
Published: (2013-03-01)