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DTSTAMP:20260818T163150Z
UID:b4487d96-c48c-4123-81e0-998e975dc3e1
DTSTART:20241105T080000Z
DTEND:20241106T160000Z
DESCRIPTION:Educators:\nSteffen Klamt\, Axel von Kamp\, Pavlos Bekiaris (de
 .NBI-SysBio)\n\nDate:\n5 – 6 November 2024\n\nLocation:\nOnline\n\nConte
 nts:\nThis 2-days course introduces principles of constraint-based modelin
 g and computational design of metabolic networks coupled with a live demon
 stration and hands-on exercises with the MATLAB package CellNetAnalyzer (C
 NA) and its Python-variant CNApy.\n\nDay 1\nOverview of key methods of con
 straint-based modeling and metabolic network design (coupled with live dem
 onstration of CNA and CNApy):\n\nFundamentals of constraint-based modeling
  of metabolic networks\nMetabolic flux (balance) analysis\nFlux Variabilit
 y analysis\nPhase planes and Yield spaces\nMetabolic pathway analysis\nMin
 imal cut sets and computational design of metabolic networks\nDay 2\nHands
 -on exercises with CNA and CNApy: the participants will practice the use o
 f CNA or/and CNApy by exercises with small example networks as well as wit
 h realistic metabolic models.\n\nRegistration: \nPlease register at this l
 ink.\n\nLearning Goals:\n\nComprehensive understanding of (1) stoichiometr
 ic and constraint-based modeling of metabolic networks and of (2)  related
  key functionalities of CellNetAnalyzer and CNApy.\nHands-on exercises wit
 h CellNetAnalyzer and CNApy will enable the participants to routinely use 
 these software tools in their daily work.\nPrerequisites:\nNone\n\nKeyword
 s:\nMetabolic networks\, Flux Balance Analysis\, Constraint-based modeling
 \, Metabolic design\, Microbial metabolism\, Systems Biology\n\nTools:\nCe
 llNetAnalyzer\, CNApy
SUMMARY:Constraint-based modeling and design of metabolic networks with Cel
 lNetAnalyzer and CNApy
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1775-constraint-ba
 sed-modeling-and-design-of-metabolic-networks-with-cellnetanalyzer-and-cna
 py
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