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

研究成果: ジャーナルへの寄稿学術誌査読

22 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)459-474
ページ数16
ジャーナルJournal of bioinformatics and computational biology
1
3
DOI
出版ステータス出版済み - 10月 2003
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • 生化学
  • 分子生物学
  • コンピュータ サイエンスの応用

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