Cilastatin

Evidence Level: L5 Predicted Indications: 50

Quick Overview

Item Value
Drug Name Cilastatin
DrugBank ID DB01597
Brand Names (EU) Cilastatin
Evidence Level L5
Predicted Indications 50
Top Prediction Score 99.98%

Approved Indication (EMA)

See EMA product information


Predicted New Indications

TxGNN model predictions for potential drug repurposing:

Rank Indication Score Source
1 bacterial arthritis 99.98% DL
2 staphylococcus aureus infection 99.94% DL
3 chronic rhinosinusitis 99.90% DL
4 chronic ethmoidal sinusitis 99.89% DL
5 sinusitis 99.88% DL
6 paranasal sinus neoplasm (disease) 99.86% DL
7 pneumonia 99.81% DL
8 paratyphoid fever 99.65% DL
9 bronchitis 99.65% DL
10 streptococcal pneumonia 99.64% DL
11 diffuse scleroderma 99.55% DL
12 salmonellosis 99.43% DL
13 meningococcal infection 99.40% DL
14 urinary tract infection (disease) 99.36% DL
15 bacterial pneumonia 99.33% DL
16 staphylococcal toxemia 99.31% DL
17 Ureaplasma urethritis 99.24% DL
18 gonococcal urethritis 99.24% DL
19 gingivitis 99.22% DL
20 staphylococcal infection 99.15% 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

  1. Literature Review: Search PubMed for existing evidence
  2. Clinical Trial Search: Check ClinicalTrials.gov for ongoing studies
  3. Mechanistic Analysis: Evaluate biological plausibility
  4. Preclinical Studies: Conduct in vitro/in vivo validation
  5. Clinical Trials: Design and conduct human studies

Data Access


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.

Copyright © 2026 EuTxGNN Project. For research purposes only. Not medical advice.