Towards a proteomics meta-classification

In IEEE Fourth Symposium on Bioinformatics and Bioengineering, Taichung, Taiwan. IEEE Press. pp. 419–427 (2004)
  Copy   BIBTEX


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; SWISSPROT 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 metaclassification possible, taking into account also the Gene Ontology (GO) and its application to the annotation of proteins.

Author's Profile

Barry Smith
State University of New York, Buffalo


Added to PP

271 (#37,110)

6 months
33 (#48,747)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?