28.02.2013 Views

Bio-medical Ontologies Maintenance and Change Management

Bio-medical Ontologies Maintenance and Change Management

Bio-medical Ontologies Maintenance and Change Management

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

64 A.S. Sidhu <strong>and</strong> M. Bellgard<br />

3.4 Protein Ontology as a Structured Hierarchy<br />

Protein Ontology consists of a hierarchical classification of concepts discussed<br />

above represented as classes, from general to specific. In PO, the notions classification,<br />

reasoning, <strong>and</strong> consistency are applied by defining new concepts from defined<br />

generic concepts. The concepts derived from generic concepts are placed precisely<br />

into the class hierarchy of Protein Ontology to completely represent information<br />

defining a protein complex, as depicted in the figure above. More details about<br />

Protein Ontology are available on the website (http://www.proteinontology.info/).<br />

4 Summary<br />

An ontology for Protein Domain must contain terms or concepts relevant to protein<br />

synthesis, describing Protein Sequence, Structure <strong>and</strong> Function <strong>and</strong> relationships<br />

between them. In this chapter, we address this issue by providing clear <strong>and</strong><br />

unambiguous definitions of all major biological concepts of the protein synthesis<br />

process <strong>and</strong> the relationships between them through Protein Ontology or PO<br />

(Sidhu et al., 2007). PO provides a unified controlled vocabulary both for annotation<br />

data types <strong>and</strong> for annotation data. As complete protein information has to be<br />

obtained from diverse protein sources, it becomes necessary to compose ontology<br />

(corresponding to the diverse sources) that can serve the proteomics domain.<br />

Instead of creating a new ontology right from scratch containing the terms that<br />

are new to the proteomics domain, it is preferable to create an ontology by reusing<br />

terms of existing protein data sources <strong>and</strong> composing them to form a protein ontology.<br />

The information in protein data sources change rapidly. Organizations<br />

introduce new terminology or exp<strong>and</strong> the terminology they use in the data they<br />

publish. When such an update occurs, any ontology derived from these data<br />

sources also needs to change. An ideal solution to the synchronization problem<br />

between protein data sources <strong>and</strong> protein ontology when protein data sources are<br />

updated is to have a tool that automatically triggers a systematic update to the ontology<br />

when its sources change. Such a tool requires an algebraic foundation<br />

based upon which the updates can be systematically h<strong>and</strong>led.<br />

References<br />

Appel, R.D., Bairoch, A., Hochstrasser, D.F.: A new generation of information retrieval<br />

tools for biologists: the example of the expasy www server. Trends in <strong>Bio</strong>chemical Sciences<br />

19, 258–260 (1994)<br />

Apweiler, R., Bairoch, A., Wu, C.H., Barker, W.C., Boeckmann, B., Ferro, S., Gasteiger,<br />

E., Huang, H., Lopez, R., Magrane, M., Martin, M.J., Natale, D.A., O’Donovan, C., Redaschi,<br />

N., Yeh, L.S.: UniProt: The Universal Protein knowledgebase. Nucleic Acids<br />

Research 32, 115–119 (2004)<br />

Ashburner, M.: FlyBase. Genome News 13, 19–20 (1993)<br />

Ashburner, M., Ball, C.A., Blake, J.A., Butler, H., Cherry, J.C., Corradi, J., Dolinski, K.:<br />

Creating the Gene Ontology Resource: Design <strong>and</strong> Implementation. Genome Research<br />

11, 1425–1433 (2001)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!