Parton2018 - A model of Atherosclerosis and atheroma formation.
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.
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New models of atherosclerosis and multi-drug therapeutic interventions.
- Andrew Parton, Victoria McGilligan, Melody Chemaly, Maurice O’Kane, Steven Watterson
- Bioinformatics , 11/ 2018 , DOI: 10.1093/bioinformatics/bty980
- 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.
Submitter of this revision: Krishna Kumar Tiwari
Modellers: Steven Watterson, Krishna Kumar Tiwari
Metadata information
Connected external resources
SBGN view in Newt Editor
| Name | Description | Size | Actions |
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Model files |
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| S2_Model.xml | SBML model of atherosclerosis and atheroma formation | 505.06 KB | Preview | Download |
Additional files |
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| 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
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Version: 9
- Submitted on: May 20, 2019 4:31:50 PM
- Submitted by: Krishna Kumar Tiwari
- With comment: Edited model metadata online.
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Version: 7
- Submitted on: May 20, 2019 12:33:57 PM
- Submitted by: Krishna Kumar Tiwari
- With comment: Edited model metadata online.
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Version: 3
- Submitted on: Jan 18, 2019 4:11:27 PM
- Submitted by: Steven Watterson
- With comment: Model revised without commit message
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