Parton2018 - A model of Atherosclerosis and atheroma formation.

  public model
Short description

SBML and SBGN-ML models of atherosclerosis and atheroma formation.

This model is described in the publication: New models of atherosclerosis and multi-drug therapeutic interventions.

Andrew Parton, Victoria McGilligan, Melody Chemaly, Maurice O’Kane, Steven Watterson

Bioinformatics, bty980, https://doi.org/10.1093/bioinformatics/bty980

Motivation. Atherosclerosis is amongst the leading causes of death globally. However, it is challenging to study in vivo or in vitro and no detailed, openly-available computational models exist. Clinical studies hint that pharmaceutical therapy may be possible. Here we develop the first detailed, computational model of atherosclerosis and use it to develop multi-drug therapeutic hypotheses. Results. We assembled a network describing atheroma development from the literature. Maps and mathematical models were produced using the Systems Biology Graphical Notation (SBGN) and Systems Biology Markup Language (SBML), respectively. The model was constrained against clinical and laboratory data. We identified five drugs that together potentially reverse advanced atheroma formation.

Availability and Implementation. The map is available in the supplementary information in SBGN-ML format. The model is available in the supplementary material and from BioModels, a repository of SBML models, containing CellDesigner markup.

Format
SBML (L2V4)
Related Publication
  • New models of atherosclerosis and multi-drug therapeutic interventions.
  • Andrew Parton, Victoria McGilligan, Melody Chemaly, Maurice O’Kane, Steven Watterson
  • Bioinformatics , 11/ 2018
  • Ulster University Western Health and Social Care Trust
  • Motivation Atherosclerosis is amongst the leading causes of death globally. However, it is challenging to study in vivo or in vitro and no detailed, openly-available computational models exist. Clinical studies hint that pharmaceutical therapy may be possible. Here we develop the first detailed, computational model of atherosclerosis and use it to develop multi-drug therapeutic hypotheses. Results We assembled a network describing atheroma development from the literature. Maps and mathematical models were produced using the Systems Biology Graphical Notation (SBGN) and Systems Biology Markup Language (SBML), respectively. The model was constrained against clinical and laboratory data. We identified five drugs that together potentially reverse advanced atheroma formation. Availability and Implementation The map is available in the supplementary information in SBGN-ML format. The model is available in the supplementary material and from BioModels, a repository of SBML models, containing CellDesigner markup. Supplementary Information Available from Bioinformatics online.
Contributors
Steven Watterson, Krishna Kumar Tiwari

Metadata information


Curation status
Non-curated

Tags
Name Description Size Actions

Model files

S2_Model.xml SBML model of atherosclerosis and atheroma formation 505.06 KB Preview | Download

Additional files

S1_Model.xml SBGN-ML model of atherosclerosis and atheroma formation 118.36 KB Preview | Download

  • Model originally submitted by : Steven Watterson
  • Submitted: Jan 18, 2019 4:11:27 PM
  • Last Modified: May 20, 2019 4:31:50 PM
Revisions
  • Version: 9 public model Download this version
    • Submitted on: May 20, 2019 4:31:50 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Edited model metadata online.
  • Version: 7 public model Download this version
    • Submitted on: May 20, 2019 12:33:57 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Edited model metadata online.
  • Version: 3 public model Download this version
    • Submitted on: Jan 18, 2019 4:11:27 PM
    • Submitted by: Steven Watterson
    • With comment: Model revised without commit message