Copasi file acute inflammation Abulikemu et al 2020 (altered units TNF and MMP8) homo sapiens
Version 1

Download View content

Copasi file chronic inflammation Abulikemu et al 2020 (altered units TNF and MMP8); see supplemntal material:
TNF and MMP7 concentration upgrade of the models
All computations for the present paper were completed by using the model prepared and tested in Abulikemu et al 2018. Then, little attention was paid to the unit in which concentrations were expressed, except for the concentration of fibroblasts, which we found important for modelling the effect of confluency. This led to a predicted TNF concentration in the acute inflammation of 50 fM, i.e. much lower than levels reported for human serum (approximately 25 (1.0 pM) and 11 pg/mL (0.4 pM) for patients and healthy individuals, respectively (Arican et al., 2005). A posteriori we modulated the standard model so as to obtain a model predicting the concentrations of TNF and MMP7 both to be higher by a factor of 1000 at all times, with all other concentrations being unaffected.
We hereto devised the following more general strategy writing x for TNF and MMP7 and y for the other variables.

SEEK ID: https://fairdomhub.org/models/646?version=1

1 item is associated with this Model:
  • CRA 0 initial SS acute inflammation-altered units.cps (XML document - 124 KB) Download

Organism: Not specified

Model type: Ordinary differential equations (ODE)

Model format: Copasi

Execution or visualisation environment: Copasi

DOI: 10.15490/fairdomhub.1.model.646.1

Model image: No image specified

Help
help Contributor and Creators

help Other creators

Abulikemu Abudukelimu and Matteo Barberis
Citation
Westerhoff, H. (2019). Copasi file acute inflammation Abulikemu et al 2020 (altered units TNF and MMP8) homo sapiens. FAIRDOMHub. http://doi.org/10.15490/FAIRDOMHUB.1.MODEL.646.1
Activity

Views: 28   Downloads: 4

Created: 29th Nov 2019 at 18:55

Last updated: 29th Nov 2019 at 18:55

Last used: 10th Dec 2019 at 17:20

Related items

Powered by
(v.1.9.1)
Copyright © 2008 - 2019 The University of Manchester and HITS gGmbH