Using a novel resource to decrease proteomic biomarker identification time.
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.
Lustgarten
Jonathan L
JL
Department of Biomedical Informatics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Visweswaran
Shyam
S
Grover
Himanshu
H
Kimmel
Chad P
CP
Ryberg
Henrik
H
Bowser
Robert P
RP
Gopalakrishnan
Vanathi
V
Hogan
William R
WR
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
D015415:Biomarkers; D020543:Proteome