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

Date:
19-Nov-2026 2:00 pm - 6:00 pm (CEST / UTC +1)

Location:
Online

Contents:
Building upon the CellNetAnalyzer/CNApy introductory course, this course addresses advanced topics and methods of constraint-based modeling of metabolic networks coupled with live demonstrations and hands-on exercises with the MATLAB package CellNetAnalyzer (CNA) and its Python-variant CNApy.

• Phase planes and Yield spaces
• Minimal cut sets and computational design of metabolic networks
• Enzyme-constrained metabolic models
• COBRA-k: Constrained-based modeling with kinetic rate laws
• Associated live demos and hands-on exercises with CNA and CNApy
• Q&A session on advanced topics

Learning Goals:
• The participants will get familiar with advances topics of constraints-based modeling and metabolic design and learn how to employ related functionalities within CellNetAnalyzer and CNApy.
• Hands-on exercises with CellNetAnalyzer and CNApy will enable the participants to routinely use these techniques in their work.

Prerequisites:
None, but for beginners it could be advantageous to first attend the related introductory course on basic principles of constraints-based modeling and CNA/CNApy (hold two weeks prior to this course).

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

Tools:
CellNetAnalyzer (CNA), CNApy