opentargets-database

To query target-disease associations for drug discovery, this Skill sends a GraphQL API call to the Open Targets Platform to fetch and summarize target annotations, disease data, and evidence scores. It programmatically retrieves genetic, somatic, and literature evidence to support target prioritization.

For target prioritization, you can retrieve diverse evidence types from the Open Targets Platform, including genetic, somatic, expression, pathway, and literature evidence. The Skill aggregates these sources to calculate evidence scores and inform disease profiling decisions.

Yes, you can identify drug repurposing opportunities by searching known drugs and disease associations. The Skill queries the Open Targets Platform to explore diseases and known drugs, contextualizing targets to reveal alternative therapeutic applications based on evidence scores.

Yes, the target prioritization workflow requires the Python requests library to fetch evidence data. It uses this dependency to execute GraphQL queries against the Open Targets API and retrieve target annotations, safety liabilities, and genetic constraint data.

The best way to extract tractability and safety liabilities for a specific target is to use the built-in query scripts. These helpers search entities via the Open Targets GraphQL API and retrieve comprehensive target annotations alongside disease associations and drug-target evidence.

A limitation when using the Open Targets GraphQL API for disease profiling is the reliance on external API availability and rate limits. The Skill strictly queries the v4 API endpoint, meaning target-disease data retrieval is bound by the platform's current data scope and response constraints.