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Bioinformatics. 2018 Dec 4. doi: 10.1093/bioinformatics/bty982. [Epub ahead of print]

Drug Targetor: a web interface to investigate the human druggome for over 500 phenotypes.

Author information

1
Institute of Psychiatry, Psychology and Neuroscience; Social, Genetic and Developmental Psychiatry (SGDP) Centre, King's College London, UK.
2
National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, UK.
3
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Abstract

Summary:

Results from hundreds of genome-wide association studies (GWAS) are now freely available and offer a catalogue of the association between phenotypes across medicine with variants in the genome. With the aim of using this data to better understand therapeutic mechanisms, we have developed Drug Targetor, a web interface that allows the generation and exploration of drug-target networks of hundreds of phenotypes using GWAS data. Drug Targetor networks consist of drug and target nodes ordered by genetic association and connected by drug-target or drug-gene relationship. We show that Drug Targetor can help prioritize drugs, targets and drug-target interactions for a specific phenotype based on genetic evidence.

Availability and implementation:

Drug Targetor v1.21 is a web application freely available online at drugtargetor.com and under MIT license. The source code can be found at https://github.com/hagax8/drugtargetor.

Supplementary information:

Supplementary data are available at Bioinformatics online.

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