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Towards a proteomics meta-classification

  • Leipzig University
  • University of Pavia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

There is a recognized need for a meta-classification that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins in terms of just one or two specific aspects. Thus SCOP (Structural Classification of Proteins) is described as classifying proteins on the basis of structural features; SWISS-PROT annotates proteins on the basis of their structure and of parameters like post-translational modifications. Such data sources are connected to each other by pairwise term-to-term mappings. However, there are obstacles which stand in the way of combining them together to form a robust meta-classification of the needed sort. We discuss some formal ontological principles which should be taken into account within the existing datasources in order to make such a meta-classification possible, taking into account also the Gene Ontology (GO) and its application to the annotation of proteins.

Original languageEnglish
Title of host publicationProceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004
Pages419-426
Number of pages8
DOIs
StatePublished - 2004
EventProceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004 - Taichung, Taiwan, Province of China
Duration: May 19 2004May 21 2004

Publication series

NameProceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004

Conference

ConferenceProceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004
Country/TerritoryTaiwan, Province of China
CityTaichung
Period05/19/0405/21/04

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