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Ontology algebra for composition of protein data sources

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Open access
Authors
Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
Date
2007
Type
Conference Paper

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Citation
Sidhu, Amandeep S and Dillon, Tharam S and Chang, Elizabeth. 2007. : Ontology algebra for composition of protein data sources, in Damiani, Ernesto (ed), 2007 IEEE International Conference on granular Computing (GcC 2007), Nov 02 2007, pp. 144-150. Silicon Valley, USA: IEEE Computer Society.
Source Title
Proceedings of the 2007 IEEE international conference on data mining inbioinformatics (DMB 2007)
Source Conference
2007 IEEE International Conference on granular Computing (GcC 2007)
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School
Centre for Extended Enterprises and Business Intelligence
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Copyright 2007 IEEE

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Abstract

These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive models that are consistent with huge volume of data. Difficulty increase when large variety of heterogeneous approaches gathers data from multiple perspectives. In order to facilitate computational processing data, it is especially critical to develop standardized structured data representation model formats for proteomics data. In this paper we describe a Protein Ontology Model for integrating protein databases and deduce a structured vocabulary for understanding process of protein synthesis completely. Proposed Protein Ontology Model provides biologists and scientists with a description of sequence, structure and functions of protein and also provides interpretation of various factors on final protein structure conformation. The Structured Vocabulary for Protein Data, describing Protein Ontology is composed of various Type Definitions for Protein Entry Details, Sequence and Structural Information of Proteins, Structural Domain Family of Protein, Cellular Function of Protein, Chemical Bonds present in the Protein, and External Constraints deciding final protein conformation. The Proposed Ontology Model will provide easier ways to predict and understand proteins.