Large-scale computational models of liver metabolism: How far from the clinics?

Tanja Cvitanović, Matthias C. Reichert, Miha Moškon, Miha Mraz, Frank Lammert, Damjana Rozman
2017 Hepatology  
Understanding the dynamics of human liver metabolism is fundamental for effective diagnosis and treatment of liver diseases. This knowledge can be obtained with systems biology/medicine approaches that account for the complexity of hepatic responses and their systemic consequences in other organs. Computational modeling can reveal hidden principles of the system by classification of individual components, analyzing their interactions and simulating the effects that are difficult to investigate
more » ... xperimentally. Herein, we review the state-of-the-art computational models that describe liver dynamics from metabolic, gene regulatory, and signal transduction perspectives. We focus especially on large-scale liver models described either by genome scale metabolic networks or an object-oriented approach. We also discuss the benefits and limitations of each modeling approach and their value for clinical applications in diagnosis, therapy, and prevention of liver diseases as well as precision medicine in hepatology.
doi:10.1002/hep.29268 pmid:28520105 fatcat:4s57ktybfzag5dk3l4jk72j2oq