Yeast Systems Biology

Volume 759 of the series Methods in Molecular Biology pp 465-482


Representation, Simulation, and Hypothesis Generation in Graph and Logical Models of Biological Networks

  • Ken WhelanAffiliated withDepartment of Computer Science, University of Aberystwyth Email author 
  • , Oliver RayAffiliated withDepartment of Computer Science, University of Bristol
  • , Ross D. KingAffiliated withDepartment of Computer Science, University of Aberystwyth

* Final gross prices may vary according to local VAT.

Get Access


This chapter presents a discussion of metabolic modeling from graph theory and logical modeling perspectives. These perspectives are closely related and focus on the coarse structure of metabolism, rather than the finer details of system behavior. The models have been used as background knowledge for hypothesis generation by Robot Scientists using yeast as a model eukaryote, where experimentation and machine learning are used to identify additional knowledge to improve the metabolic model. The logical modeling concept is being adapted to cell signaling and transduction biological networks.

Key words

Graph theory logical models metabolic networks machine learning