Systematic integration of biomedical knowledge prioritizes drugs for repurposing

Systematic integration of biomedical knowledge prioritizes drugs for repurposing

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 (neo4j.het.io), an inte...

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Bibliographic Details
Main Authors: Daniel Scott Himmelstein, Antoine Lizee, Christine Hessler, Leo Brueggeman, Sabrina L Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, Sergio E Baranzini
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2017-09-01
Series:eLife
Subjects:
drug repurposing
heterogeneous networks
machine learning
Online Access:https://elifesciences.org/articles/26726

Internet

https://elifesciences.org/articles/26726

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