Material Detail

Computational environments for modeling biochemical networks

Computational environments for modeling biochemical networks

This video was recorded at 4th International Workshop on Machine Learning in Systems Biology (MLSB), Edinburgh 2010. Computational modeling is an integral and crucial part of systems biology. It relies on accessible and user-friendly software to set up models, model management and model analysis. Here, two systems are presented that have been implemented for these needs. The first one, COPASI, has been around since 2004 and is a standalone software suite that encompasses many of the commonly used algorithms and approaches in computational modeling. Amongst others, it allows parameter estimation of model on the basis of experimental data sets with diverse methods. The second software is SYCAMORE which is a web based application designed to allow database driven modeling. Thus, it interacts directly with databases for enzymatic kinetics and with tools to estimate parameters based on protein structural data. Both systems are constantly refined and features added.


  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material


Log in to participate in the discussions or sign up if you are not already a MERLOT member.