Using a novel resource to decrease proteomic biomarker identification time
Jonathan L Lustgarten1, Shyam Visweswaran, Himanshu Grover
1Department of Biomedical Informatics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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.
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