Educators:
Steffen Klamt, Axel von Kamp, Pavlos Bekiaris (de.NBI-SysBio)

Date:
5 – 6 November 2024

Location:
Online

Contents:
This 2-days course introduces principles of constraint-based modeling and computational design of metabolic networks coupled with a live demonstration and hands-on exercises with the MATLAB package CellNetAnalyzer (CNA) and its Python-variant CNApy.

Day 1
Overview of key methods of constraint-based modeling and metabolic network design (coupled with live demonstration of CNA and CNApy):

Fundamentals of constraint-based modeling of metabolic networks
Metabolic flux (balance) analysis
Flux Variability analysis
Phase planes and Yield spaces
Metabolic pathway analysis
Minimal cut sets and computational design of metabolic networks
Day 2
Hands-on exercises with CNA and CNApy: the participants will practice the use of CNA or/and CNApy by exercises with small example networks as well as with realistic metabolic models.

Registration:
Please register at this link.

Learning Goals:

Comprehensive understanding of (1) stoichiometric and constraint-based modeling of metabolic networks and of (2) related key functionalities of CellNetAnalyzer and CNApy.
Hands-on exercises with CellNetAnalyzer and CNApy will enable the participants to routinely use these software tools in their daily work.
Prerequisites:
None

Keywords:
Metabolic networks, Flux Balance Analysis, Constraint-based modeling, Metabolic design, Microbial metabolism, Systems Biology

Tools:
CellNetAnalyzer, CNApy