Evidence based computational drug repositioning candidate screening pipeline design: Case Study

Qian Zhu, Hongfang D Liu, Yuji Zhang, Jiabei Wang

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

Abstract

Traditional drug development is time and cost consuming process, conversely, drug repositioning is an emerging approach to discover novel usages of existing drugs with a better risk-versus-reward trade-off. Computational technology is playing a key role in drug repositioning to screening the best drug repositioning candidates from a large candidate library. Recent efforts made for computer aided drug repositioning are mostly focusing on applying/developing data mining algorithms against wild type of large scale of biomedical data. In this paper, we introduce a novel computational pipeline designed for drug repositioning candidate screening based on existing phenotypical association (disease-disease association) discovery and pathway enrichment analysis by exploring systems biology data relevant to the interested phenotypical association specifically. To demonstrate usability and evaluate efficacy of this novel pipeline, we successfully conducted a case study by identifying potential drug repositioning candidates for Alzheimer's disease (AD) based on the studied phenotypical association between cancer and AD.

Original languageEnglish (US)
Title of host publicationInternational Conference on Systems Biology, ISB
PublisherIEEE Computer Society
Pages210-218
Number of pages9
ISBN (Print)9781479972944
DOIs
StatePublished - Dec 17 2014
Event8th International Conference on Systems Biology, ISB 2014 - Qingdao, China
Duration: Aug 24 2014Aug 27 2014

Other

Other8th International Conference on Systems Biology, ISB 2014
CountryChina
CityQingdao
Period8/24/148/27/14

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Keywords

  • drug repositioning
  • pathway enrichment analysis
  • phenotypical association
  • systems biology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Zhu, Q., Liu, H. D., Zhang, Y., & Wang, J. (2014). Evidence based computational drug repositioning candidate screening pipeline design: Case Study. In International Conference on Systems Biology, ISB (pp. 210-218). [6990757] IEEE Computer Society. https://doi.org/10.1109/ISB.2014.6990757