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So what does Hetionet know…

Can we predict new uses for existing drugs?

GraphGist Tutorial on Project Rephetio & Neo4j/Cypher

209,168 Predictions (het.io/repurpose)

Hetionet browser at neo4j.het.io

MATCH path = (n0:BiologicalProcess)
  -[:PARTICIPATES_GpBP]-(n1)
  -[:BINDS_CbG]-(n2:Compound)
WHERE n0.name = 'myelination'
RETURN path

Can answer versatile questions such as:

What compounds that target genes involved in myelation?

Go to neo4j.het.io & try to:

1. Retrieve the Disease node named "lung cancer"
    
2. Find which anatomies (tissue types) where lung cancer localizes (LOCALIZES_DlA)
    
3. Find all genes associated with "spinal cancer" (ASSOCIATES_DaG)
    
4. Find all genes associated with both "liver cancer" and "kidney cancer"
    
5. Find all genes that participate in the "mitotic spindle checkpoint" BiologicalProcess (PARTICIPATES_GpBP)
    
6. Find all genes that participate in the "mitotic spindle checkpoint" and are expressed in the lung (EXPRESSES_AeG)

Solution queries

1. MATCH (node:Disease {name: "lung cancer"}) RETURN node

2. MATCH (:Disease {name: 'lung cancer'})-[rel:LOCALIZES_DlA]->() RETURN rel

3. MATCH (:Disease {name: 'spinal cancer'})-[r:ASSOCIATES_DaG]->() RETURN r

4. MATCH path=(:Disease {name: 'liver cancer'})-[:ASSOCIATES_DaG]-(:Gene)-[:ASSOCIATES_DaG]-(:Disease {name: 'kidney cancer'}) RETURN path

5. MATCH ({name: 'mitotic spindle checkpoint'})-[rel:PARTICIPATES_GpBP]-() RETURN rel

6. MATCH path=(:BiologicalProcess {name: 'mitotic spindle checkpoint'})-[:PARTICIPATES_GpBP]-(gene:Gene)-[:EXPRESSES_AeG]-(:Anatomy {name: 'lung'}) RETURN path