Linked Life Data

18213404

Source:http://linkedlifedata.com/resource/pubmed/id/18213404

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-1-23
pubmed:abstractText
Recent advances in metabolic flux analysis including genome-scale constraints-based flux analysis and its applications in metabolic engineering are reviewed. Various computational aspects of constraints-based flux analysis including genome-scale stoichiometric models, additional constraints used for the improved accuracy, and several algorithms for identifying the target genes to be manipulated are described. Also, some of the successful applications of metabolic flux analysis in metabolic engineering are reviewed. Finally, we discuss the limitations that need to be overcome to make the results of genome-scale flux analysis more realistically represent the real cell metabolism.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1742-206X
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
113-20
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Metabolic flux analysis and metabolic engineering of microorganisms.
pubmed:affiliation
Department of Chemical and Biomolecular Engineering (BK21 Program), Metabolic and Biomolecular Engineering National Research Laboratory, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't