title: Mining to find the lipid interaction networks involved in Ovarian Cancers.
abstract: The role of lipids in cancer during the genesis, progression and subsequent metastasis stages is increasingly discussed in the scientific literature. This information is discussed in a wide range of journals making it difficult for researchers to track the latest developments. A comprehensive assessment and translation of the lipidome of ovarian cancer, originating from literature, has yet to be made. We illustrate the deployment of semantic technologies; lipid ontology and text mining, in the aggregation and coordination of lipid literature. We provide the first report on the roles and types of lipids involved in ovarian cancer based on the mining of literature and identify key lipid-protein interactions that may point to potential drug discovery targets.
authors.affiliation: Data Mining Dept. Institute for Infocomm Research, Agency for Science Technology and Research, Singapore.
authors.forename: Rajaraman
authors.initials: R
authors.lastname: Kanagasabai
authors.forename: Kothandaraman
authors.initials: K
authors.lastname: Narasimhan
authors.forename: Hong-Sang
authors.initials: HS
authors.lastname: Low
authors.forename: Wee Tiong
authors.initials: WT
authors.lastname: Ang
authors.forename: Aaron Z
authors.initials: AZ
authors.lastname: Fernandis
authors.forename: Markus R
authors.initials: MR
authors.lastname: Wenk
authors.forename: Mahesh A
authors.initials: MA
authors.lastname: Choolani
authors.forename: Christopher J O
authors.initials: CJ
authors.lastname: Baker