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Extraction of specific common genetic network of side effect pair, and prediction of side effects for a drug based on PPI network

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(1), pp.115-123
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

황유현 1 오민 1 Youngmi Yoon 1

1가천대학교

Accredited

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.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.