title: Network modeling to identify new mechanisms and therapeutic targets for Parkinson's disease.
abstract: Biomolecules in subnetworks are the focus of a new strategy to develop drugs that halt complex diseases. In this article, the authors use genome-wide association study and linkage data derived from Parkinson's disease studies to illustrate how algorithms that use gene and protein interaction databases reveal subnetworks in biological systems that suggest mechanisms for disease progression. Network modeling may help develop testable hypotheses for neurodegenerative diseases and open up new avenues for therapeutic development.
authors.affiliation: Georgetown University Medical Center, Washington, DC, USA.
authors.forename: Linda
authors.initials: L
authors.lastname: MacArthur
authors.forename: Habtom
authors.initials: H
authors.lastname: Ressom
authors.forename: Salim
authors.initials: S
authors.lastname: Shah
authors.forename: Howard J
authors.initials: HJ
authors.lastname: Federoff
mesh_terms: D000465:Algorithms; D055106:Genome-Wide Association Study; D006801:Humans; D008959:Models, Neurological; D010300:Parkinson Disease / Q000235:genetics* / Q000628:therapy*