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ABSTRACT: Motivation
Transcriptome-based computational drug repurposing has attracted considerable interest by bringing about faster and more cost-effective drug discovery. Nevertheless, key limitations of the current drug connectivity-mapping paradigm have been long overlooked, including the lack of effective means to determine optimal query gene signatures.Results
The novel approach Dr Insight implements a frame-breaking statistical model for the 'hand-shake' between disease and drug data. The genome-wide screening of concordantly expressed genes (CEGs) eliminates the need for subjective selection of query signatures, added to eliciting better proxy for potential disease-specific drug targets. Extensive comparisons on simulated and real cancer datasets have validated the superior performance of Dr Insight over several popular drug-repurposing methods to detect known cancer drugs and drug-target interactions. A proof-of-concept trial using the TCGA breast cancer dataset demonstrates the application of Dr Insight for a comprehensive analysis, from redirection of drug therapies, to a systematic construction of disease-specific drug-target networks.Availability and implementation
Dr Insight R package is available at https://cran.r-project.org/web/packages/DrInsight/index.html.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Chan J
PROVIDER: S-EPMC6691331 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Chan Jinyan J Wang Xuan X Turner Jacob A JA Baldwin Nicole E NE Gu Jinghua J
Bioinformatics (Oxford, England) 20190801 16
<h4>Motivation</h4>Transcriptome-based computational drug repurposing has attracted considerable interest by bringing about faster and more cost-effective drug discovery. Nevertheless, key limitations of the current drug connectivity-mapping paradigm have been long overlooked, including the lack of effective means to determine optimal query gene signatures.<h4>Results</h4>The novel approach Dr Insight implements a frame-breaking statistical model for the 'hand-shake' between disease and drug dat ...[more]