Using Genome-scale Models to Predict Biological Capabilities.

TitleUsing Genome-scale Models to Predict Biological Capabilities.
Publication TypeJournal Article
Year of Publication2015
AuthorsO'Brien EJ, Monk JM, Palsson BO
JournalCell
Volume161
Issue5
Pagination971-87
Date Published2015 May 21
ISSN1097-4172
KeywordsComputer Simulation, Escherichia coli, Humans, Metabolic Engineering, Models, Genetic, Protein Interaction Maps, Systems Biology, Thermotoga maritima, Yeasts
Abstract

Constraint-based reconstruction and analysis (COBRA) methods at the genome scale have been under development since the first whole-genome sequences appeared in the mid-1990s. A few years ago, this approach began to demonstrate the ability to predict a range of cellular functions, including cellular growth capabilities on various substrates and the effect of gene knockouts at the genome scale. Thus, much interest has developed in understanding and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal and enzyme evolution. This Primer will get you started.

DOI10.1016/j.cell.2015.05.019
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/26000478?dopt=Abstract
Alternate JournalCell
PubMed ID26000478
PubMed Central IDPMC4451052
Grant ListR01 GM057089 / GM / NIGMS NIH HHS / United States
R01 GM057089 / GM / NIGMS NIH HHS / United States
Track(s): 
Bioinformatics and Systems Biology