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DTSTAMP:20260819T135713Z
UID:37d91396-7aa6-4a6e-aa80-b4f39ab777fe
DTSTART:20261119T130000Z
DTEND:20261119T170000Z
DESCRIPTION:Educators:\nSteffen Klamt\, Axel von Kamp\, Pavlos Bekiaris (de
 .NBI-SysBio)\n \nDate:\n19-Nov-2026 2:00 pm - 6:00 pm (CEST / UTC +1)\n \n
 Location:\nOnline\n \nContents:\nBuilding upon the CellNetAnalyzer/CNApy i
 ntroductory course\, this course addresses advanced topics and methods of 
 constraint-based modeling of metabolic networks coupled with live demonstr
 ations and hands-on exercises with the MATLAB package CellNetAnalyzer (CNA
 ) and its Python-variant CNApy.\n \n• Phase planes and Yield spaces\n•
  Minimal cut sets and computational design of metabolic networks\n• Enzy
 me-constrained metabolic models\n• COBRA-k: Constrained-based modeling w
 ith kinetic rate laws\n• Associated live demos and hands-on exercises wi
 th CNA and CNApy\n• Q&amp\;A session on advanced topics \n \n\nLearning 
 Goals:\n• The participants will get familiar with advances topics of con
 straints-based modeling and metabolic design and learn how to employ relat
 ed functionalities within CellNetAnalyzer and CNApy.\n• Hands-on exercis
 es with CellNetAnalyzer and CNApy will enable the participants to routinel
 y use these techniques in their work.\n \nPrerequisites:\nNone\, but for b
 eginners it could be advantageous to first attend the related introductory
  course on basic principles of constraints-based modeling and CNA/CNApy (h
 old two weeks prior to this course).\n \nKeywords:\nMetabolic networks\, F
 lux Balance Analysis\, Constraint-based modeling\, Metabolic design\, Micr
 obial metabolism\, Systems Biology\n \nTools:\nCellNetAnalyzer (CNA)\, CNA
 py
SUMMARY:Constraint-based modeling of metabolic networks with CellNetAnalyze
 r and CNApy: Module 2 - Advanced topics
URL;VALUE=URI:https://www.denbi.de/training-courses-2026/2117-constraint-ba
 sed-modeling-of-metabolic-networks-with-cellnetanalyzer-and-cnapy-module-2
 -advanced-topics
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