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    Creating a protein ontology resource

    19380_downloaded_stream_472.pdf (106.3Kb)
    Access Status
    Open access
    Authors
    Chang, Elizabeth
    Sidhu, Amandeep
    Dillon, Tharam S.
    Date
    2005
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chang, Elizabeth and Sidhu, Amandeep and Dillon, Tharam S. 2005. : Creating a protein ontology resource, in Brenner, S. and Schwartz, J.T. and Altman, R. and Kohane,, I. and Toga, A. and Kikinis, R. (ed), 2005 IEEE Computational Systems Bioinformatics Conference (CSB2005), Aug 08 2005, pp. 220-221. Stanford, California, USA: IEEE.
    Source Title
    Proceedings of the 2005 IEEE Computer Society Computational Systems Bioinformatics Conference Workshop (CSBW'05)
    Source Conference
    2005 IEEE Computational Systems Bioinformatics Conference (CSB2005)
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2005 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/13579
    Collection
    • Curtin Research Publications
    Abstract

    Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other data sources. Current approaches do not provide methods both for generic mapping protein data representation, depicting interactions in data it describes and for interfacing existing data. The proposed Protein Ontology shows the value of hierarchy and relationships present in proteomics data. The creation of a Protein Ontology provides understanding of diverse types of data like:(1) Protein Entry Details(2) 3D Structural Representations of Proteins(3) Structural Folds and domains conserved in proteins(4) Functional Domains and Families created based on Physiological and Pathological Functions of Proteins, and(5) Various Constraints like Genetic Defects and Chemical Properties of Cell that affect Final Stable Molecular Structure of Protein.Protein Ontology describes the concepts of interest in protein complex mechanisms and proteomics process.

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      Chang, Elizabeth; Sidhu, Amandeep; Sidhu, B.; Dillon, Tharam S. (2005)
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      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 ...
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