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Using a novel resource to decrease proteomic biomarker identification time.
Lustgarten, Jonathan L; Visweswaran, Shyam; Grover, Himanshu; Kimmel, Chad P; Ryberg, Henrik; Bowser, Robert P; Gopalakrishnan, Vanathi; Hogan, William R.
Affiliation
  • Lustgarten JL; Department of Biomedical Informatics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
AMIA Annu Symp Proc ; : 1033, 2008 Nov 06.
Article in En | MEDLINE | ID: mdl-18999243
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.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Peptide Mapping / User-Computer Interface / Biomarkers / Information Storage and Retrieval / Proteome / Databases, Protein Type of study: Diagnostic_studies Language: En Journal: AMIA Annu Symp Proc Journal subject: INFORMATICA MEDICA Year: 2008 Document type: Article Affiliation country: United States Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Peptide Mapping / User-Computer Interface / Biomarkers / Information Storage and Retrieval / Proteome / Databases, Protein Type of study: Diagnostic_studies Language: En Journal: AMIA Annu Symp Proc Journal subject: INFORMATICA MEDICA Year: 2008 Document type: Article Affiliation country: United States Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA