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Systematic integration of biomedical knowledge prioritizes drugs for repurposing
[article]
2016
bioRxiv
pre-print
The ability to computationally predict whether a compound treats a disease would improve the economy and success rate of drug approval. This study describes Project Rephetio to systematically model drug efficacy based on 755 existing treatments. First, we constructed Hetionet (https://neo4j.het.io), an integrative network encoding knowledge from millions of biomedical studies. Hetionet v1.0 consists of 47,031 nodes of 11 types and 2,250,197 relationships of 24 types. Data was integrated from 29
doi:10.1101/087619
fatcat:drln54if6baajkxj3knmc2b5cq