Iloprost
| Evidence Level: L5 | Predicted Indications: 50 |
Quick Overview
| Item | Value |
|---|---|
| Drug Name | Iloprost |
| DrugBank ID | DB01088 |
| Brand Names (EU) | Ventavis |
| Evidence Level | L5 |
| Predicted Indications | 50 |
| Top Prediction Score | 99.45% |
Approved Indication (EMA)
Treatment of patients with primary pulmonary hypertension, classified as New York Heart Association functional class III, to improve exercise capacity and symptoms.
Predicted New Indications
TxGNN model predictions for potential drug repurposing:
| Rank | Indication | Score | Source |
|---|---|---|---|
| 1 | hypotrichosis simplex of the scalp | 99.45% | DL |
| 2 | congenital hypotrichosis milia | 99.33% | DL |
| 3 | pulmonary arterial hypertension associated with congenital heart disease | 99.32% | DL |
| 4 | pulmonary arteriovenous malformation (disease) | 99.31% | DL |
| 5 | pulmonary arterial hypertension | 99.29% | DL |
| 6 | pulmonary arterial hypertension associated with schistosomiasis | 99.21% | DL |
| 7 | pulmonary arterial hypertension associated with chronic hemolytic anemia | 99.21% | DL |
| 8 | pulmonary arterial hypertension associated with connective tissue disease | 99.21% | DL |
| 9 | pulmonary arterial hypertension associated with HIV infection | 99.21% | DL |
| 10 | diffuse alopecia areata | 99.10% | DL |
| 11 | alopecia | 98.42% | DL |
| 12 | malformation syndrome with odontal and/or periodontal component | 96.59% | DL |
| 13 | Ambras type hypertrichosis universalis congenita | 96.57% | DL |
| 14 | pulmonary hypertension, primary, autosomal recessive | 96.49% | DL |
| 15 | obsolete patella aplasia, coxa vara, and tarsal synostosis | 96.46% | DL |
| 16 | syndrome with a Dandy-Walker malformation as major feature | 96.16% | DL |
| 17 | isolated genetic hair shaft abnormality | 95.95% | DL |
| 18 | familial clubfoot due to 17q23.1q23.2 microduplication | 95.89% | DL |
| 19 | chromosome 17q23.1-q23.2 deletion syndrome | 95.68% | DL |
| 20 | coxopodopatellar syndrome | 95.47% | DL |
Showing top 20 of 50 predictions.
About TxGNN Predictions
Prediction Sources
| Source | Description |
|---|---|
| KG | Knowledge Graph - Network topology-based associations |
| DL | Deep Learning - Neural network score prediction |
Evidence Levels
| Level | Definition |
|---|---|
| L1 | Multiple Phase 3 RCTs / Systematic Reviews |
| L2 | Single RCT or multiple Phase 2 trials |
| L3 | Observational studies / Large case series |
| L4 | Preclinical / Mechanistic / Case reports |
| L5 | AI prediction only (current) |
Clinical Validation Needed
Research Use Only: These predictions are computational hypotheses that require clinical validation. They should NOT be used for clinical decision-making.
Next Steps for Validation
- Literature Review: Search PubMed for existing evidence
- Clinical Trial Search: Check ClinicalTrials.gov for ongoing studies
- Mechanistic Analysis: Evaluate biological plausibility
- Preclinical Studies: Conduct in vitro/in vivo validation
- Clinical Trials: Design and conduct human studies
Data Access
- FHIR API:
/fhir/ClinicalUseDefinition/ - CSV Download: All Predictions
- GitHub: yao-care/EuTxGNN
Citation
If using this data, please cite:
@article{huang2023txgnn,
title={A foundation model for clinician-centered drug repurposing},
author={Huang, Kexin and others},
journal={Nature Medicine},
year={2023},
doi={10.1038/s41591-023-02233-x}
}
Disclaimer: This report is for research purposes only and does not constitute medical advice. Drug repurposing predictions require rigorous clinical validation before any therapeutic application.