Refinement-based modelling of the ErbB signalling pathway

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Bogdan Iancu, Cristian Gratie, Ion Petre
Publication year: 2014
Journal: Analele Universitatii Bucuresti
Volume number: LXI
Start page: 7
End page: 14


Abstract

Building large biological models is a difficult task, often attained by
iteratively adding details to an initial abstraction of the modeled process. Refitting
the model at every step of the development is computationally intensive.
Fit-preserving data refinement offers an efficient alternative by providing adequate
parameter values that preserve the fit from the previous step.We focus here
on the implementation of fit-preserving data refinement of a model of the ErbB
signalling pathway, which is extended to include details regarding the types of
ligands and receptors involved. We obtained an extensive model ensuring a good
fit by construction, with significantly less effort than any parameter estimation
routine would require.
Building large biological models is a difficult task, often attained by
iteratively adding details to an initial abstraction of the modeled process. Refitting
the model at every step of the development is computationally intensive.
Fit-preserving data refinement offers an efficient alternative by providing adequate
parameter values that preserve the fit from the previous step.We focus here
on the implementation of fit-preserving data refinement of a model of the ErbB
signalling pathway, which is extended to include details regarding the types of
ligands and receptors involved. We obtained an extensive model ensuring a good
fit by construction, with significantly less effort than any parameter estimation
routine would require.

Last updated on 2019-06-12 at 05:58