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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

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



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 and under MIT license. The source code can be found at

Supplementary information:

Supplementary data are available at Bioinformatics online.

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