A computational framework for predicting drug Mode-of-Action

Chifeng Ma, Yufei Huang, Hung I. Chen, Yidong Chen

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

Abstract

The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Pages374-379
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 - HongKong, China
Duration: Dec 18 2010Dec 21 2010

Publication series

Name2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Other

Other2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
CountryChina
CityHongKong
Period12/18/1012/21/10

Keywords

  • Drug activity prediction
  • Gene set selection
  • MoANet
  • Mode of Action

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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