SOURCE-LINKED INTELLIGENCE

Genetically anchored drug target discovery for neglected diseases

CORDIS · observation · Publication date unknown

rgets and opportunities for drug repurposing. To achieve this aim, we will 1) harness ethnically diverse biobanks (>500,000 participants) with whole-exome/genome sequencing and EHR linkage powered by deep learning models to gain new insights into the aetiology of neglected NCDs that are needed for rational drug design, 2) create a genetically anchored biomedical knowledge graph that incorporates rich functional genomic data from single-cell studies with drug characteristics to predict promising drug targets using deep graph neural networks, and 3) establish convergence of genetic and real-world evidence of proposed drug targets by emulating clinical trials in multiple large EHR datasets (>50 million patients). Unique access to diverse hospital cohorts and a clinical trial unit at one of the largest European hospitals, the Charité Universitätsmedizin Berlin, will further accelerate clinical translation for selected examples. With GenDrug, we aim to build a community resource to enable and accelerate drug development using ‘big data’ for hundreds to thousands of diseases that currently

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recordType

award

status

SIGNED

region

EU

value

1498089

unit

EUR