Protein complex prediction using domain interface = 도메인 인터페이스 정보를 이용한 단백질 컴플렉스 예측

Despite the improvement of predicting protein-protein interactions, little progress has been achieved in the network based prediction of protein complexes. We assume that the problem of network based predictions is caused by the coexistence of incompatible interactions which cannot occur simultaneously. Therefore, we propose the method to predict protein complexes eliminating incompatible interactions which cannot occur to single interface at the same time. To obtain domain interface data, we integrate several biological databases: PSIbase, SwissProt, SCOP, and ASTRAL. This method integrate the existing prediction methods, MCODE and LCMA, based on the connectivity in the protein interaction graph. The prediction accuracy are compared with the existing methods and known protein complexes of MIPS CYGD. As a result, the prediction accuracy shows improvement compared to the existing methods, MCODE and LCMA.
Advisors
Han, Dong-Sooresearcher한동수researcher
Publisher
한국정보통신대학교
Issue Date
2008
Identifier
392960/225023 / 020064621
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.2, [ vi, 73 p. ]

Keywords

Protein Complex; PPI; Bioinformatics; Prediction; 예측; 단백질 컴플렉스; 단백질 상호작용; 생물정보학

URI
http://hdl.handle.net/10203/54989
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392960&flag=t
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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