Using a novel resource to decrease proteomic biomarker identification time.

Authors

Jonathan L. Lustgarten, University of Pittsburgh Medical Center
Shyam Visweswaran, University of Pittsburgh Medical Center
Himanshu Grover, University of Pittsburgh Medical Center
Chad P. Kimmel, University of Pittsburgh Medical Center
Henrik Ryberg, University of Pittsburgh Medical Center
Robert P. Bowser, University of Pittsburgh Medical CenterFollow
Vanathi Gopalakrishnan, University of Pittsburgh Medical Center
William R. Hogan, University of Pittsburgh Medical Center

Document Type

Article

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.

Publication Date

1-1-2008

Publication Title

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

E-ISSN

1942597X

First Page

1033

PubMed ID

18999243

Recommended Citation

Lustgarten, Jonathan L.; Visweswaran, Shyam; Grover, Himanshu; Kimmel, Chad P.; Ryberg, Henrik; Bowser, Robert P.; Gopalakrishnan, Vanathi; and Hogan, William R., "Using a novel resource to decrease proteomic biomarker identification time." (2008). Translational Neuroscience. 582.
https://scholar.barrowneuro.org/neurobiology/582