opentargets-database

Open Targets Database

Overview

The Open Targets Platform is a comprehensive resource for systematic identification and prioritization of potential therapeutic drug targets. It integrates publicly available datasets including human genetics, omics, literature, and chemical data to build and score target-disease associations.

Key capabilities:

• Query target (gene) annotations including tractability, safety, expression
• Search for disease-target associations with evidence scores
• Retrieve evidence from multiple data types (genetics, pathways, literature, etc.)
• Find known drugs for diseases and their mechanisms
• Access drug information including clinical trial phases and adverse events
• Evaluate target druggability and therapeutic potential

Data access: The platform provides a GraphQL API, web interface, data downloads, and Google BigQuery access. This skill focuses on the GraphQL API for programmatic access.

When to Use This Skill

This skill should be used when:

• Target discovery: Finding potential therapeutic targets for a disease
• Target assessment: Evaluating tractability, safety, and druggability of genes
• Evidence gathering: Retrieving supporting evidence for target-disease associations
• Drug repurposing: Identifying existing drugs that could be repurposed for new indications
• Competitive intelligence: Understanding clinical precedence and drug development landscape
• Target prioritization: Ranking targets based on genetic evidence and other data types
• Mechanism research: Investigating biological pathways and gene functions
• Biomarker discovery: Finding genes differentially expressed in disease
• Safety assessment: Identifying potential toxicity concerns for drug targets

Core Workflow

1. Search for Entities

Start by finding the identifiers for targets, diseases, or drugs of interest.

For targets (genes):

from scripts.query_opentargets import search_entities

# Search by gene symbol or name
results = search_entities("BRCA1", entity_types=["target"])
# Returns: [{"id": "ENSG00000012048", "name": "BRCA1", ...}]