Ontology-based Knowledge Representation for Protein Data
MetadataShow full item record
The advances in information and communication technologies coupled with increased knowledge about genes and proteins have opened new perspectives for study of protein complexes. There is a growing need to integrate the knowledge about various protein complexes for effective disease prevention mechanisms, individualized medicines and treatments and other accepts of healthcare. In this paper we propose a protein ontology that handles the following computational challenges in the area proteomics and systems biology in general: (1) it provides more accurate interpretations and associations as conclusions are based on data and semantics. (2) It makes it possible to study relationships among proteins, protein folding, behaviour of protein under various environments, and most importantly cellular function of protein. This protein ontology is a unified terminology description integrating various protein database schemas and provides a easier way to predict and understand proteins.
Copyright 2005 IEEE
Reprinted from: 2005 3rd IEEE International Conference on Industrial Informatics (INDIN) Perth, Australia 10-12 August 2005
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Curtin University of Technology's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Showing items related by title, author, creator and subject.
Chang, Elizabeth; Sidhu, Amandeep; Dillon, Tharam S. (2005)In this paper, we proposed a Protein Ontology to integrate protein data and information from various Protein Data Sources. Protein Ontology provides the technical and scientific infrastructure and knowledge to allow ...
Chang, Elizabeth; Sidhu, Amandeep; Sidhu, B.; Dillon, Tharam S. (2005)The rapid generation of accessible protein data sources has generated confusion over protein data representation. The protein ontology project seeks to provide a set of structured vocabularies for protein domains that can ...
Sidhu, Amandeep; Dillon, Tharam S.; Chang, Elizabeth (2007)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 ...