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Drug Targetor: a web interface to investigate the human druggome for over 500 phenotypes.
Gaspar, Héléna A; Hübel, Christopher; Breen, Gerome.
Affiliation
  • Gaspar HA; Institute of Psychiatry, Psychology and Neuroscience, Social, Genetic and Developmental Psychiatry (SGDP) Centre, King's College London, London, UK.
  • Hübel C; South London and Maudsley National Health Service Trust, National Institute for Health Research Biomedical Research Centre, London, UK.
  • Breen G; Institute of Psychiatry, Psychology and Neuroscience, Social, Genetic and Developmental Psychiatry (SGDP) Centre, King's College London, London, UK.
Bioinformatics ; 35(14): 2515-2517, 2019 07 15.
Article in En | MEDLINE | ID: mdl-30517594
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 licence. The source code can be found at https://github.com/hagax8/drugtargetor. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Software Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article

Full text: 1 Database: MEDLINE Main subject: Software Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article