Use of gene networks for identifying and validating drug targets.

Seiya Imoto, Christopher J. Savoie, Sachiyo Aburatani, Sunyong Kim, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

We propose a new method for identifying and validating drug targets by using gene networks, which are estimated from cDNA microarray gene expression profile data. We created novel gene disruption and drug response microarray gene expression profile data libraries for the purpose of drug target elucidation. We use two types of microarray gene expression profile data for estimating gene networks and then identifying drug targets. The estimated gene networks play an essential role in understanding drug response data and this information is unattainable from clustering methods, which are the standard for gene expression analysis. In the construction of gene networks, we use the Bayesian network model. We use an actual example from analysis of the Saccharomyces cerevisiae gene expression profile data to express a concrete strategy for the application of gene network information to drug discovery.

Original languageEnglish
Pages (from-to)459-474
Number of pages16
JournalJournal of bioinformatics and computational biology
Volume1
Issue number3
DOIs
Publication statusPublished - Oct 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications

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