19376826

Source:http://linkedlifedata.com/resource/pubmed/id/19376826

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0015219, umls-concept:C0026336, umls-concept:C0439857, umls-concept:C1553702, umls-concept:C1706062
pubmed:issue	12
pubmed:dateCreated	2009-5-29
pubmed:abstractText	Most current research in network evolution focuses on networks that follow a Duplication Attachment model where the network is only allowed to grow. The evolution of metabolic networks, however, is characterized by gain as well as loss of reactions. It would be desirable to have a biologically relevant model of network evolution that could be used to calculate the likelihood of homologous metabolic networks.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/BB/E007872/1
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9808944
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	1367-4811
pubmed:author	pubmed-author:HeinJotunJ, pubmed-author:MithaniAzizA, pubmed-author:PrestonGail MGM
pubmed:issnType	Electronic
pubmed:day	15
pubmed:volume	25
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1528-35
pubmed:dateRevised	2009-11-4
pubmed:meshHeading	pubmed-meshheading:19376826-Algorithms, pubmed-meshheading:19376826-Computational Biology, pubmed-meshheading:19376826-Metabolic Networks and Pathways, pubmed-meshheading:19376826-Models, Statistical, pubmed-meshheading:19376826-Pseudomonas
pubmed:year	2009
pubmed:articleTitle	A stochastic model for the evolution of metabolic networks with neighbor dependence.
pubmed:affiliation	Department of Statistics, University of Oxford, Oxford, UK. mithani@stats.ox.ac.uk
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't