The KIPS Transactions:PartD (정보처리학회논문지D)

Korea Information Processing Society (한국정보처리학회)
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Implementation of Prototype for a Protein Motif Prediction and Update

단백질 모티프 예측 및 갱신 프로토 타입 구현

  • Published : 2004.08.01
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Abstract

Motif databases are used in the function and structure prediction of proteins. The frequency of use about these databases increases continuously because of protein sequence data growth. Recently, many researches about motif resource integration are proceeding. However, existing motif databases were developed independently, thus these databases have a heterogeneous search result problem. Database intnegration for this problem resolution has a periodic update problem, a complex query process problem, a duplicate database entry handling problem and BML support problem. Therefore, in this paper, we suppose a database resource integration method for these problem resolution, describe periodically integrated database update method and XML transformation. finally, we estimate the implementation of our prototype and a case database.

모티프 데이터베이스는 새롭게 등장하는 원시 단백질 서열의 기능 및 구조 예측에 사용된다. 이러한 모티프 데이터베이스들은 원시 단백질 서열의 빠른 성장과 더불어 급속한 이용 증가 추세를 보이고 있으며, 최근에 이르러 모티프 자원 통합에 관한 연구가 진행되고 있다. 그러나 이러한 모티프 데이터베이스들은 각기 개별적인 메소드로 개발되었기 때문에 각기 다른 형식의 검색 결과를 제공한다. 이러한 문제 해결을 위한 데이터베이스 통합에서는 데이터베이스 자동 갱신 문제, 복잡한 질의 처리 문제, 중복된 데이터베이스 엔트리 핸들링 문제, XML 지원 문제 등을 지니고 있다. 이 논문에서는 기존 문제점들을 해결하기 위하여 데이터베이스 자원 통합 방법론을 제안하였고, 통합된 데이터베이스의 주기적 갱신 방안과 XML로의 변환에 관하여 기술하였다. 아울러 구축된 통합 데이터베이스와 사례 데이터베이스를 비교 평가하였다.

Keywords

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