An Ontology for Protein Data Models
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Accelerating availability of protein sequences and structures has transformed both the theory and practice of computational biology. The current systems of nomenclature for proteins remain divergent even when the experts appreciate the underlying similarities. Interoperability of protein databases is limited to lack of progress in the way the biologists describe and conceptualize the shared biological elements in protein data. The goal of the proposed protein ontology is a step forward to address these concerns by is producing a structured vocabulary that can be applied to all proteins even as the knowledge of protein roles in the cells is still accumulating and changing. A Database of 10 Major Prion Proteins available in various Protein data sources, based on the vocabulary provided by Protein Ontology is made available.
Copyright 2005 IEEE
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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 ...