Using Genome-scale Models to Predict Biological Capabilities.
Title | Using Genome-scale Models to Predict Biological Capabilities. |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | O'Brien EJ, Monk JM, Palsson BO |
Journal | Cell |
Volume | 161 |
Issue | 5 |
Pagination | 971-87 |
Date Published | 2015 May 21 |
ISSN | 1097-4172 |
Keywords | Computer 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. |
DOI | 10.1016/j.cell.2015.05.019 |
PubMed URL | http://www.ncbi.nlm.nih.gov/pubmed/26000478?dopt=Abstract |
Alternate Journal | Cell |
PubMed ID | 26000478 |
PubMed Central ID | PMC4451052 |
Grant List | R01 GM057089 / GM / NIGMS NIH HHS / United States R01 GM057089 / GM / NIGMS NIH HHS / United States |
Track(s):
Bioinformatics and Systems Biology