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Protein ontology: Vocabulary for protein data

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Open access
Authors
Chang, Elizabeth
Sidhu, Amandeep
Dillon, Tharam S.
Sidhu, B.
Date
2005
Type
Conference Paper

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Citation
Chang, Elizabeth and Sidhu, Amandeep and Dillon, Tharam S. and Sidhu, Baldev S. 2005. : Protein ontology: Vocabulary for protein data, in Tien, D. and He, X. and Hintz, T. and Piccardi, M. and Wu, Q. and Huang, M. (ed), Third International Conference on Information Technology and Applications (iCITA), Jul 04 2005, pp. 465-469. Sydney, Australia: IEEE.
Source Title
Third International Conference on Information Technology and Applications (iCITA 2005)
Source Conference
Third International Conference on Information Technology and Applications (iCITA)
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Remarks

Copyright 2005 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.