[HTML][HTML] Quantitative analysis reveals how EGFR activation and downregulation are coupled in normal but not in cancer cells

F Capuani, A Conte, E Argenzio, L Marchetti… - Nature …, 2015 - nature.com
Ubiquitination of the epidermal growth factor receptor (EGFR) that occurs when Cbl and
Grb2 bind to three phosphotyrosine residues (pY1045, pY1068 and pY1086) on the receptor …

[HTML][HTML] Receptor level mechanisms are required for epidermal growth factor (EGF)-stimulated extracellular signal-regulated kinase (ERK) activity pulses

B Sparta, M Pargett, M Minguet, K Distor, G Bell… - Journal of Biological …, 2015 - ASBMB
In both physiological and cell culture systems, EGF-stimulated ERK activity occurs in
discrete pulses within individual cells. Many feedback loops are present in the EGF receptor …

Statistical Model Checking in BioLab: Applications to the Automated Analysis of T-Cell Receptor Signaling Pathway

EM Clarke, JR Faeder, CJ Langmead, LA Harris… - … Methods in Systems …, 2008 - Springer
We present an algorithm, called BioLab, for verifying temporal properties of rule-based
models of cellular signalling networks. BioLab models are encoded in the BioNetGen …

[PDF][PDF] Discerning complex reaction networks using automated generators

S Vernuccio, LJ Broadbelt - AIChE J, 2019 - academia.edu
Kinetic models are powerful tools, widely applied in many different fields of chemical
engineering and industrial chemistry. These models are typically expressed as large …

[HTML][HTML] Thermodynamically feasible kinetic models of reaction networks

M Ederer, ED Gilles - Biophysical journal, 2007 - cell.com
The dynamics of biological reaction networks are strongly constrained by thermodynamics.
An holistic understanding of their behavior and regulation requires mathematical models …

[HTML][HTML] RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry

AM Smith, W Xu, Y Sun, JR Faeder, GE Marai - BMC bioinformatics, 2012 - Springer
Background Rule-based modeling (RBM) is a powerful and increasingly popular approach
to modeling cell signaling networks. However, novel visual tools are needed in order to …

Abstract interpretation of cellular signalling networks

V Danos, J Feret, W Fontana, J Krivine - International Workshop on …, 2008 - Springer
Cellular signalling pathways, where proteins can form complexes and undergo a large array
of post translational modifications are highly combinatorial systems sending and receiving …

[HTML][HTML] The signaling petri net-based simulator: a non-parametric strategy for characterizing the dynamics of cell-specific signaling networks

D Ruths, M Muller, JT Tseng, L Nakhleh… - PLoS computational …, 2008 - journals.plos.org
Reconstructing cellular signaling networks and understanding how they work are major
endeavors in cell biology. The scale and complexity of these networks, however, render their …

[HTML][HTML] A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

H Conzelmann, J Saez-Rodriguez, T Sauter… - BMC …, 2006 - Springer
Background: Receptors and scaffold proteins possess a number of distinct domains and
bind multiple partners. A common problem in modeling signaling systems arises from a …

Modeling for (physical) biologists: an introduction to the rule-based approach

LA Chylek, LA Harris, JR Faeder… - Physical biology, 2015 - iopscience.iop.org
Abstract Models that capture the chemical kinetics of cellular regulatory networks can be
specified in terms of rules for biomolecular interactions. A rule defines a generalized …