New models of atherosclerosis and multi-drug therapeutic interventions.

Andrew Parton, V. E. McGilligan, Melody El Chemaly, Maurice O'Kane, Steven Watterson

Research output: Contribution to journalArticle

Abstract

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.
LanguageEnglish
JournalBioinformatics
Publication statusAccepted/In press - 5 Dec 2018

Fingerprint

Atherosclerosis
Systems Biology
Drugs
Atherosclerotic Plaques
Markup languages
Pharmaceutical Preparations
Computational Model
Notation
Language
Language Model
Pharmaceuticals
Therapeutics
Computational Biology
Information Systems
Model
Repository
Therapy
Motivation
Reverse
Cause of Death

Keywords

  • Systems biology
  • Atherosclerosis
  • Cardiovascular
  • pathways

Cite this

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title = "New models of atherosclerosis and multi-drug therapeutic interventions.",
abstract = "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.",
keywords = "Systems biology, Atherosclerosis, Cardiovascular, pathways",
author = "Andrew Parton and McGilligan, {V. E.} and {El Chemaly}, Melody and Maurice O'Kane and Steven Watterson",
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New models of atherosclerosis and multi-drug therapeutic interventions. / Parton, Andrew; McGilligan, V. E.; El Chemaly, Melody; O'Kane, Maurice; Watterson, Steven.

In: Bioinformatics, 05.12.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - New models of atherosclerosis and multi-drug therapeutic interventions.

AU - Parton, Andrew

AU - McGilligan, V. E.

AU - El Chemaly, Melody

AU - O'Kane, Maurice

AU - Watterson, Steven

PY - 2018/12/5

Y1 - 2018/12/5

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AB - 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.

KW - Systems biology

KW - Atherosclerosis

KW - Cardiovascular

KW - pathways

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M3 - Article

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SN - 1367-4803

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