Discovering biological processes and side effects relationship using the process-drug-side effect network

Sejoon Lee, Min Song, Doheon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The side effect of drugs often results from a response to the unintended target of a drug. Recently there have been researches identifying targets of known drugs based on the side effect information. These researches, however, did not consider the association of drugs both with targets and with biological processes. The recent development of a database of the side effects, SIDER, is a first step to provide the relationship between drugs and side effects. In this paper, we propose a novel process-drug-side effect network that discovers the relationship between biological processes and side effects. The multi-level network (the process-drug-side effect network) is built by merging the drug-biological process network and the drug-side effect network. Evaluation is conducted in two ways: 1) how many biological processes discovered by our method are found in co-occurred GO terms with biological processes extracted from the PubMed records by a text mining technique. 2) whether there is the performance improvement by limiting response processes by drugs sharing the same side effect only to frequent ones. The experimental results show that our process-drug-side effect network is able to discover meaningful relationships between biological processes and side effects in an efficient manner.

Original languageEnglish
Title of host publicationProc. of the ACM 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
Pages31-39
Number of pages9
DOIs
Publication statusPublished - 2010 Dec 1
Event4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 - Toronto, ON, Canada
Duration: 2010 Oct 262010 Oct 30

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10
CountryCanada
CityToronto, ON
Period10/10/2610/10/30

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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  • Cite this

    Lee, S., Song, M., & Lee, D. (2010). Discovering biological processes and side effects relationship using the process-drug-side effect network. In Proc. of the ACM 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 (pp. 31-39). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1871871.1871878