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Domain Combination Based Probabilistic Framework for Protein-Protein Interaction Prediction Method
한동수
한동수 (한국정보통신대학교)
제2차 한국생물정보학회 연례학술대회  |  2003.10.31
In this paper, we propose a probabilistic framework to predict the interaction probability of proteins.
The notion of domain combination and domain combination pair is newly introduced and the prediction
model in the framework takes domain combination pair as a basic unit of protein interactions to overcome
the limitations of the conventional domain pair based prediction systems. The framework largely consists
of prediction preparation and service stages. In the prediction preparation stage, two appearance pro-
bability matrices, which hold information on appearance frequencies of domain combination pairs in the
interacting and non-interacting sets of protein pairs, are constructed. Based on the appearance probability
matrix, a probability equation is devised. The equation maps a protein pair to a real number in the range
of 0 to 1. Two distributions of interacting and non-interacting set of protein pairs are obtained using the
equation. In the prediction service stage, the interaction probability of a protein pair is predicted using the
distributions and the equation. The validity of the prediction model is evaluated for the interacting set of
protein pairs in Yeast organism and artificially generated non-interacting set of protein pairs. When 80%
of the set of interacting protein pairs in DIP database are used as learning set of interacting protein pairs,
very high sensitivity(86%) and specificity(56%) are achieved within our framework.
본 동영상의 Citation 복사
조회 4059    주소복사 트위터 공유 페이스북 공유 
Protein Interaction
한동수(한국정보통신대학교)
제2차 한국생물정보학회 연례학술대회 | 2003.10.31
한남식(인하대학교)
제2차 한국생물정보학회 연례학술대회 | 2003.10.31
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Springer Nature
한동수 님의 VOD 더보기>
BIOINFO 2006 국제컨퍼런스 | 2006.09.14
2006년도 한국유전체학회 정기학술대회 | 2006.09.21
한국생물정보학회 | 2004.11.04
제2차 한국생물정보학회 연례학술대회 - Sessions
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