Abstract:
Advances in proteomics and protein expression
techniques have lead to the elucidation of large
amounts of protein data. Various data mining
algorithms and mathematical models provide methods
for analyzing this data; however, there are two issues
that need to be addressed: (1) the need for standards
for defining protein data description and exchange
formats so they can be exchanged across the World
Wide Web, and also read into data mining software in
a consistent format and (2) eliminating errors which
arise with the data integration methodologies for
complex queries. Protein Ontology is designed to meet
these needs by providing a structured protein data
specification for Protein Data Representation. Protein
Ontology is a standard for representing protein data in
a way that helps in defining data integration and data
mining models for Protein Structure and Function. In
this paper we summarize the structure of Protein
Ontology we developed earlier, its current
applications to various protein families, and its future
development.
