BioModels is a repository of mathematical models of biological and biomedical systems. It hosts a vast selection of existing literature-based physiologically and pharmaceutically relevant mechanistic models in standard formats. Our mission is to provide the systems modelling community with reproducible, high-quality, freely-accessible models published in the scientific literature. More information about using BioModels such as model submission, update, publication, or reviewers access can be found in the FAQ.

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Model of The Month

July, 2025

Basal MET Phosphorylation as an Indicator of Hepatocyte Dysregulation in Liver Disease

In our recent study, conducted in the frame of the LiSyM-Cancer Network funded by the German Federal Ministry for Education and Research, we sought to unravel how high-fat, high-sugar diets influence intracellular signalling in hepatocytes. Using a dynamic mathematical model of hepatocyte growth factor (HGF) signal transduction, we identified the basal phosphorylation of the MET receptor as a key indicator of hepatocyte dysregulation.

Model(s) associated with this Model of the Month: BIOMD0000001102.

Last updated by: Dr Svenja Kemmer


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How to cite BioModels

Rahuman S Malik-Sheriff, Mihai Glont, Tung V N Nguyen, Krishna Tiwari, Matthew G Roberts, Ashley Xavier, Manh T Vu, Jinghao Men, Matthieu Maire, Sarubini Kananathan, Emma L Fairbanks, Johannes P Meyer, Chinmay Arankalle, Thawfeek M Varusai, Vincent Knight-Schrijver, Lu Li, Corina Dueñas-Roca, Gaurhari Dass, Sarah M Keating, Young M Park, Nicola Buso, Nicolas Rodriguez, Michael Hucka, and Henning Hermjakob
Nucl. Acids Res. 2020
Mihai Glont, Tung V N Nguyen, Martin Graesslin, Robert Hälke, Raza Ali, Jochen Schramm, Sarala M Wimalaratne, Varun B Kothamachu, Nicolas Rodriguez, Maciej J Swat, Jurgen Eils, Roland Eils, Camille Laibe, Rahuman S Malik-Sheriff, Vijayalakshmi Chelliah, Nicolas Le Novère, and Henning Hermjakob
Nucl. Acids Res. 2018
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