AuTxGNN

Drug repurposing predictions for Australia using the TxGNN graph neural network.

Australia: what this site covers

This site publishes reports for 749 medicines listed on the PBS Schedule (Australia).

This site’s local data

Item Detail
Dataset PBS Schedule items (current schedule, CSV)
Publisher Australian Department of Health, PBS public API
Download https://data-api.health.gov.au/pbs/api/v3/items (API documentation: https://data.pbs.gov.au/api/api-public.html)
Item identifier PBS item code
Updates Automatic weekly download (every Monday) of the schedule currently in effect; an item that drops off the list keeps its previous status

Details: Data Sources.

Reports by evidence level:

Evidence level Reports Share
L1 10 1.3%
L2 31 4.1%
L3 21 2.8%
L4 45 6.0%
L5 484 64.6%
N/A 158 21.1%

4 predicted drug–disease pairs on this site appear on no other of the 30 TxGNN sites.

Highest evidence levels on this site

Medicines covered only by this site among the 30 TxGNN sites

Overview

AuTxGNN uses graph neural networks to identify potential new therapeutic uses for existing drugs registered with the Australian Therapeutic Goods Administration (TGA).

Data Sources

  • Drug Data: PBS Schedule (Pharmaceutical Benefits Scheme)
  • Knowledge Graph: TxGNN biomedical knowledge graph
  • Clinical Trials: ClinicalTrials.gov, ANZCTR (Australian New Zealand Clinical Trials Registry)
  • Literature: PubMed, Google Scholar

API Access

FHIR R4 API

Access prediction data via FHIR R4 resources:

  • Base URL: https://autxgnn.yao.care/fhir
  • Capability Statement: /fhir/metadata

Available Resources

Resource Type Description
MedicationKnowledge Drug information from the PBS Schedule
ClinicalUseDefinition Predicted drug-disease indications

Disclaimer

Research Use Only: The predictions provided by AuTxGNN are for research purposes only and do not constitute medical advice. All drug repurposing candidates require clinical validation before any therapeutic application.

This is not a TGA-approved tool. Always consult healthcare professionals for medical decisions.

Contact


Last updated: 2026-11-04


About the Developer

This platform is developed and operated by 藥提醒科技有限公司 (yao.care). See the About page for the full company and methodology background.


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