PMID:12843395

Citation	Gardner, TS, di Bernardo, D, Lorenz, D and Collins, JJ (2003) Inferring genetic networks and identifying compound mode of action via expression profiling. Science 301:102-5
Abstract	The complexity of cellular gene, protein, and metabolite networks can hinder attempts to elucidate their structure and function. To address this problem, we used systematic transcriptional perturbations to construct a first-order model of regulatory interactions in a nine-gene subnetwork of the SOS pathway in Escherichia coli. The model correctly identified the major regulatory genes and the transcriptional targets of mitomycin C activity in the subnetwork. This approach, which is experimentally and computationally scalable, provides a framework for elucidating the functional properties of genetic networks and identifying molecular targets of pharmacological compounds.
Links	PubMed Online version:10.1126/science.1081900
Keywords	Algorithms; Computational Biology; DNA Damage; DNA, Bacterial/genetics; DNA, Bacterial/metabolism; Escherichia coli/genetics; Escherichia coli/metabolism; Escherichia coli Proteins/metabolism; Gene Expression Profiling; Genes, Bacterial; Genes, Regulator; Linear Models; Mathematics; Mitomycin/pharmacology; Models, Genetic; Polymerase Chain Reaction; RNA, Bacterial/genetics; RNA, Bacterial/metabolism; RNA, Messenger/genetics; RNA, Messenger/metabolism; SOS Response (Genetics); Transcription, Genetic
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