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GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning

: Muslu, Özlem; Hoyt, Charles Tapley; Lacerda, Mauricio Pio de; Hofmann-Apitius, Martin; Fröhlich, Holger


IEEE ACM transactions on computational biology and bioinformatics (2020), Online First, 11 pp.
ISSN: 1545-5963
ISSN: 1557-9964
Fraunhofer-Gesellschaft FhG

Human Brain Pharmacome
Journal Article
Fraunhofer SCAI ()
artificial intelligence; neural networks; bioinformatic

Objective: The majority of clinical trials fail due to low efficacy of investigated drugs, often resulting from a poor choice of target protein. Existing computational approaches aim to support target selection either via genetic evidence or by putting potential targets into the context of disease specific network reconstructions.