title: Using a novel resource to decrease proteomic biomarker identification time.
abstract: The Empirical Proteomic Ontology Knowledge Base (EPO-KB) is an online database that represents current knowledge of biomarkers and contains associations between mass-to-charge (m/z) ratios of mass-spectrometry peaks to proteins. Such a database is a useful tool for identifying putative proteins associated with a m/z ratio. At present, EPO-KB contains data that have been extracted from 120 published research papers. It has been used in successful identification of a protein associated with a biomarker.
authors.affiliation: Department of Biomedical Informatics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
authors.forename: Jonathan L
authors.initials: JL
authors.lastname: Lustgarten
authors.forename: Shyam
authors.initials: S
authors.lastname: Visweswaran
authors.forename: Himanshu
authors.initials: H
authors.lastname: Grover
authors.forename: Chad P
authors.initials: CP
authors.lastname: Kimmel
authors.forename: Henrik
authors.initials: H
authors.lastname: Ryberg
authors.forename: Robert P
authors.initials: RP
authors.lastname: Bowser
authors.forename: Vanathi
authors.initials: V
authors.lastname: Gopalakrishnan
authors.forename: William R
authors.initials: WR
authors.lastname: Hogan
mesh_terms: D015415:Biomarkers / Q000737:chemistry*; D030562:Databases, Protein; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D010449:Peptide Mapping / Q000379:methods*; D020543:Proteome / Q000737:chemistry* / Q000145:classification*; D014584:User-Computer Interface
chemical_list: D015415:Biomarkers; D020543:Proteome