Extraction of specific common genetic network of side effect pair, and prediction of side effects for a drug based on PPI network
- Authors
- 황유현; 오민; 윤영미
- Issue Date
- Jan-2016
- Publisher
- 한국컴퓨터정보학회
- Keywords
- Drug; Side effect; Genetic network; Bioinformatics; Data mining; PPI; Classification model
- Citation
- 한국컴퓨터정보학회논문지, v.21, no.1, pp.115 - 123
- Journal Title
- 한국컴퓨터정보학회논문지
- Volume
- 21
- Number
- 1
- Start Page
- 115
- End Page
- 123
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/9642
- ISSN
- 1598-849X
- Abstract
- In this study, we collect various side effect pairs which are appeared frequently at many drugs, and select side effect pairs that have higher severity. For every selected side effect pair, we extract common genetic networks which are shared by side effects’ genes and drugs’ target genes based on PPI(Protein-Protein Interaction) network. For this work, firstly, we gather drug related data, side effect data and PPI data. Secondly, for extracting common genetic network, we find shortest paths between drug target genes and side effect genes based on PPI network, and integrate these shortest paths. Thirdly, we develop a classification model which uses this common genetic network as a classifier. We calculate similarity score between the common genetic network and genetic network of a drug for classifying the drug. Lastly, we validate our classification model by means of AUC(Area Under the Curve) value.
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Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
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