Physical understanding via reduction of complex multiscale models: Glycolysis in saccharomyces cerevisiae

Kourdis, PD; Goussis, DA; Steuer, R

dc.contributor.author	Kourdis, PD	en
dc.contributor.author	Goussis, DA	en
dc.contributor.author	Steuer, R	en
dc.date.accessioned	2014-03-01T02:45:44Z
dc.date.available	2014-03-01T02:45:44Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32358
dc.subject	Limit Cycle	en
dc.subject	Mathematical Model	en
dc.subject	Multiscale Modeling	en
dc.subject	saccharomyces cerevisiae	en
dc.subject	Spectrum	en
dc.subject	Time Scale	en
dc.subject.other	Initial state	en
dc.subject.other	Limit cycle	en
dc.subject.other	Multiscale models	en
dc.subject.other	Saccharomyces cerevisiae	en
dc.subject.other	Slow dynamics	en
dc.subject.other	Time-scale	en
dc.subject.other	Wide spectrum	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Pathology	en
dc.subject.other	Models	en
dc.title	Physical understanding via reduction of complex multiscale models: Glycolysis in saccharomyces cerevisiae	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696657	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696657	en
heal.identifier.secondary	4696657	en
heal.publicationDate	2008	en
heal.abstract	We consider complex mathematical models that are characterized by a wide spectrum of time scales, the fastest of which are operative during the initial state only, leaving the slower ones to drive the system at later times. It is shown that very useful physical understanding can be acquired if the fast and slow dynamics are first separated and then analyzed. Existing algorithmic methodologies can be applied for this purpose. A demonstration of this approach is presented for a glycolysis model, the solution of which asymptotically evolves around a limit cycle.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696657	en