17400319

Source:http://linkedlifedata.com/resource/pubmed/id/17400319

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0014279
pubmed:issue	2
pubmed:dateCreated	2007-4-10
pubmed:abstractText	The interdisciplinary field of systems biology has evolved rapidly over the last years. Different disciplines have aided the development of both its experimental and theoretical branches. One field, which has played a significant role is engineering science and, in particular chemical engineering. Here, we review and illustrate some of these contributions, ranging from modeling approaches to model analysis with a special focus on technique which have not yet been substantially exploited but can be potentially useful in the analysis of biochemical systems.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8411927
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	0168-1656
pubmed:author	pubmed-author:KremlingAA, pubmed-author:Saez-RodriguezJJ
pubmed:issnType	Print
pubmed:day	30
pubmed:volume	129
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	329-51
pubmed:meshHeading	pubmed-meshheading:17400319-Engineering, pubmed-meshheading:17400319-Escherichia coli, pubmed-meshheading:17400319-Models, Biological, pubmed-meshheading:17400319-Signal Transduction, pubmed-meshheading:17400319-Systems Biology
pubmed:year	2007
pubmed:articleTitle	Systems biology--an engineering perspective.
pubmed:affiliation	Systems Biology Group, Max-Planck-Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. kremling@mpi-magdeburg.mpg.de
pubmed:publicationType	Journal Article, Review, Research Support, Non-U.S. Gov't