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http://dx.doi.org/10.3745/KIPSTD.2003.10D.4.679

Implementation of Protein Motif Prediction System Using integrated Motif Resources  

Lee, Bum-Ju (충북대학교 대학원 전자계산학과)
Choi, Eun-Sun (충북대학교 대학원 전자계산학과)
Ryu, Keun-Ho (충북대학교 전기전자 및 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.10D, no.4, 2003 , pp. 679-688 More about this Journal
Abstract
Motif databases are used in the function and structure prediction of proteins which appear on new and rapid release of raw data from genome sequencing projects. Recently, the frequency of use about these databases increases continuously. However, existing motif databases were developed and extended independently and were integrated mainly by using a web-based cross-reference, thus these databases have a heterogeneous search result problem, a complex query process problem and a duplicate database entry handling problem. Therefore, in this paper, we suppose physical motif resource integration and describe the integrated search method about a family-based protein prediction for solving above these problems. Finally, we estimate our implementation of the motif integration database and prediction system for predicting protein motifs.
Keywords
Motif; Motif resource integration; Protein prediction; Bioinformatics;
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Times Cited By KSCI : 1  (Citation Analysis)
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