基因
计算生物学
药物发现
生物
基因表达
小分子
表达式(计算机科学)
遗传学
计算机科学
生物信息学
程序设计语言
作者
Justin Lamb,Emily Crawford,D. D. Peck,Joshua W. Modell,Irene C. Blat,Matthew J. Wrobel,Jim Lerner,Jean-Philippe Brunet,Aravind Subramanian,Kenneth N. Ross,Michael Reich,Haley Hieronymus,Guo Wei,Scott A. Armstrong,Stephen J. Haggarty,Paul A. Clemons,Ru Wei,Steven A. Carr,Eric S. Lander,Todd R. Golub
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2006-09-28
卷期号:313 (5795): 1929-1935
被引量:4878
标识
DOI:10.1126/science.1132939
摘要
To pursue a systematic approach to the discovery of functional connections among diseases, genetic perturbation, and drug action, we have created the first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules, together with pattern-matching software to mine these data. We demonstrate that this "Connectivity Map" resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs. These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.
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