Mouse model phenotypes provide information about human drug targets

Robert Hoehndorf, Tanya Hiebert, Nigel W. Hardy, Paul N. Schofield, Georgios V. Gkoutos, Michel Dumontier

Research output: Contribution to journalArticlepeer-review

32 Citations (SciVal)
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Abstract

Motivation: Methods for computational drug target identification utilize information from diverse information sources to predict or prioritize drug targets for known drugs. One set of resources that has been relatively neglected for drug repurposing are animal model phenotypes.

Results: We investigate the use of mouse model phenotypes for drug target identification. To achieve this goal, we first integrate mouse model phenotypes and drug effects, and then systematically compare the phenotypic similarity between mouse models and drug effect profiles. We find a high similarity between phenotypes resulting from loss-of-function mutations and drug effects resulting from the inhibition of a protein through a drug action, and demonstrate how this approach can be used to suggest candidate drug targets.

Availability and implementation: Analysis code and supplementary data files are available on the project website at https://drugeffects.googlecode.com.
Original languageEnglish
Pages (from-to)n/a
JournalBioinformatics
Volumen/a
Issue numbern/a
Early online date24 Oct 2013
DOIs
Publication statusPublished - 2013

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