title: Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties.
abstract: The human network of Protein-Protein Interactions (PPIs) (interactome) provides information on biological systems that can be used to aid prediction of protein function and disease association. As some classes of protein may be the focus of much study, data sets may contain bias, which may affect the results of network analyses. Implicated cancer proteins and proteins including significant known mediators of cardiovascular disease (cvd) display a tendency to play a central role in a previously constructed interactome. However, removing possible bias in the interactome by only considering interactions obtained from non-targeted approaches affects the significance of the findings.
authors.forename: Richard J B
authors.initials: RJ
authors.lastname: Dobson
authors.forename: Patricia B
authors.initials: PB
authors.lastname: Munroe
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Caulfield
authors.forename: Mansoor A S
authors.initials: MA
authors.lastname: Saqi
mesh_terms: D000465:Algorithms; D002318:Cardiovascular Diseases / Q000378:metabolism*; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D006801:Humans; D009369:Neoplasms / Q000378:metabolism*; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome; D015203:Reproducibility of Results; D012984:Software
chemical_list: D020543:Proteome