Orfao2008_ThrombinGeneration_AmidolyticActivity

  public model
Short description
Format
SBML (L2V4)
Related Publication
  • Qualitative properties and stabilizability of a model for blood thrombin formation
  • Cunha Orfaoa S, Jank G, Mottaghy K, Walcher S, Zerz E.
  • Journal of Mathematical Analysis and Applications 2008; 346(1): 218–226 2008
  • Lehrstuhl II für Mathematik, RWTH Aachen, 52056 Aachen, Germany; Universitätsklinikum der RWTH Aachen, Pauwelsstr. 30, 52057 Aachen, Germany; Lehrstuhl A für Mathematik, RWTH Aachen, 52056 Aachen, Germany; Lehrstuhl D für Mathematik, RWTH Aachen, 52056 Aachen, Germany
  • We perform a qualitative analysis of a differential equation that was originally introduced by Stortelder, Hemker and Hemker to model the formation of thrombin, and discuss issues of controllability and stabilizability. Results include a general proof of convergence to equilibrium, and of local exponential stabilizability.
Contributors
Michael Schubert

Metadata information

is
BioModels Database MODEL1108260000
BioModels Database BIOMD0000000366
isDerivedFrom
BioModels Database BIOMD0000000358
hasTaxon
Taxonomy Homo sapiens
isVersionOf
Gene Ontology blood coagulation
isDescribedBy
hasProperty
Human Disease Ontology cardiovascular system disease
Curation status
Curated
  • Model originally submitted by : Michael Schubert
  • Submitted: Aug 26, 2011 5:10:29 PM
  • Last Modified: Oct 9, 2014 6:21:48 PM
Revisions
  • Version: 2 public model Download this version
    • Submitted on: Oct 9, 2014 6:21:48 PM
    • Submitted by: Michael Schubert
    • With comment: Current version of Orfao2008_ThrombinGeneration_AmidolyticActivity
  • Version: 1 public model Download this version
    • Submitted on: Aug 26, 2011 5:10:29 PM
    • Submitted by: Michael Schubert
    • With comment: Original import of Orfao2008_ThrombinGeneration_AmidolyticActivity
Curator's comment:
(added: 26 Aug 2011, 17:34:13, updated: 26 Aug 2011, 17:34:13)
Reproduction of figure 2 of the article. Model integrated using PySCeS and plotted with Matplotlib.