著者

荒木 啓充 HURLEY Daniel CRAMPIN Edmund PRINT Cristin 久原 哲

出版者

一般社団法人 日本生物物理学会

雑誌

生物物理 (ISSN:05824052)

巻号頁・発行日

vol.51, no.4, pp.182-185, 2011 (Released:2011-07-25)

参考文献数

18

被引用文献数

1

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In the post-genome era, with the availability of high-throughput data, our biological focus makes a shift from a behavior of individual components to their regulatory/causative/interactive relationships. Gene network, which is inferred from microarray data by using reverse engineering algorithms, gives valuable information about the regulation of genes in the living cells under the certain conditions. In particular, this technology is applied to the biomedical research fields, e.g. identification of drug targets and prognosis markers. In this short review, we summarize what gene network is and how it is inferred. We also show our work that identified new drug target of well-known compound in human endothelial cells by gene network analysis.