Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521705 | PMC |
| http://dx.doi.org/10.1038/nbt.3956 | DOI Listing |
Publication Analysis
Top Keywords
iml1515 knowledgebase
4
knowledgebase computes
4
computes escherichia
4
escherichia coli
4
coli traits
4
iml1515
1
computes
1
escherichia
1
coli
1
traits
1
Similar Publications
BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.
PLoS Comput Biol
April 2019
Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Article Synopsis
- Genome-scale metabolic models (GEMs) predict organismal growth based on genomic data, utilizing a biomass objective function (BOF) that accounts for major cellular components.
- Despite the crucial role of BOFs in metabolic modeling, there has been no standardized tool for creating species-specific BOFs using an unbiased, data-driven approach.
- BOFdat is a new Python package developed to define BOFs using experimental data, demonstrating superior accuracy in biomass composition and growth predictions for the Escherichia coli model iML1515 compared to existing methods.
iML1515, a knowledgebase that computes Escherichia coli traits.
Nat Biotechnol
October 2017
Department of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!