17113705

Source:http://linkedlifedata.com/resource/pubmed/id/17113705

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0205460, umls-concept:C0678594
pubmed:issue	2-3
pubmed:dateCreated	2007-1-15
pubmed:abstractText	The paper discusses the modelling aspects of systems with dynamic processes and dynamic structure. A combination of models bringing together the benefits of two paradigms, Population P Systems and Communicating X-machines, is introduced. A simple case study is used in order to illustrate the potential of the combined use of the two methods.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0430773
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0303-2647
pubmed:author	pubmed-author:GheorgheMM, pubmed-author:KefalasPP, pubmed-author:StamatopoulosKK
pubmed:issnType	Print
pubmed:volume	87
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	142-9
pubmed:meshHeading	pubmed-meshheading:17113705-Cell Communication, pubmed-meshheading:17113705-Cell Movement, pubmed-meshheading:17113705-Computer Simulation, pubmed-meshheading:17113705-Models, Biological, pubmed-meshheading:17113705-Systems Biology
pubmed:year	2007
pubmed:articleTitle	Modelling the dynamic structure of biological state-based systems.
pubmed:affiliation	South-East European Research Centre, 17 Mitropoleos Street, Thessaloniki 54624, Greece. istamatopoulou@seerc.info
pubmed:publicationType	Journal Article