THP-NanoTarget

A Cheminformatics Framework for Leakage-Aware Benchmarking and Prioritization of Tumor-Homing Peptides

A public-data research dashboard integrating leakage-aware peptide sequence scoring, ensemble-based candidate prioritization, peptide ligand visualization, nanocarrier-ligand suitability, motif-supported receptor hypotheses, HPA-derived receptor–cancer targetability evidence, and validation summaries.

Ensemble sequence scoring
Peptide structure visualization
Bioactive hard-negative challenge
Full HPA receptor atlas: 54 receptors
Leakage-aware validation views
Research use only
Sequence scoring model
OOF TF-IDF k-mer logistic
AUROC: 0.7124
AUPRC: 0.6142
Use: exploratory candidate triage
Specificity-oriented model
OOF calibrated linear SVM
MCC: 0.2808
Use: specificity-oriented triage
Role: reduces over-prioritization of bioactive hard negatives
Data resources
Candidate-context matrix + HPA targetability atlas
Ligands: 1,401
Candidate-context rows: 21,452
Targetability rows: 1,671
HPA receptor targets: 54
Input peptide
Enter a canonical amino-acid peptide sequence. Structure rendering supports readable 2D display for peptides up to ~45 residues when RDKit is available.
3 30
Example peptide candidates

Run a peptide triage query to view the sequence score, ligand features, and context evidence.