BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20140217T160133Z
DTSTART:20140220T090000Z
DTEND:20140220T100000Z
SUMMARY:Dynamic models of cellular metabolism – an uncertain perspective
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}ikv-hrrxkpt
 j-rslbn
DESCRIPTION:Dynamic models of metabolism are powerful tools to understand
  cellular biology\, develop medical interventions to treat disease\, and
  to help engineering biological systems with new functionalities. The qu
 ality of the model predictions depends on the reliability of the kinetic
  parameter information used to construct the models. However\, in contra
 st to other areas\, such as climate modelling\, the uncertainty of param
 eter information is rarely systematically explored in biological models 
 of metabolism. In my talk I will present our work on the explicit incorp
 oration of parameter uncertainty in systems biology and illustrate it us
 ing examples from central energy metabolism in protozoan parasites. I wi
 ll also discuss applications in other areas of systems biology\, such as
  the modelling of signal transduction pathways\, and in synthetic biolog
 y. \n\nA Gene Regulation and Cellular Biotechnology Science for Breakfas
 t seminar.\nContact Graham Pavitt for further information.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:1.006\, AV Hill Building\, Manchester
END:VEVENT
END:VCALENDAR