ProtLocPro is a subcellular localization prediction tool for prokaryotic (Archaea / Gram-positive / Gram-negative) protein sequences. The model is built on protein language model features and combines multi-scale local pattern extraction with global long-range dependency modeling to perform 6-class localization prediction for input protein sequences, helping users quickly screen candidate localizations and support downstream functional annotation and experiment design.
1. Protein Sequences (up to 10 FASTA entries):
Parsed sequences: 0, total residues: 0
Supported Localization Classes (6)
- Cytoplasmic
- CytoplasmicMembrane
- Extracellular
- Periplasmic
- OuterMembrane
- Cellwall
Use Cases
- Functional annotation of prokaryotic proteins
- Candidate screening for secreted/membrane proteins
- Early-stage prioritization for protein engineering and target discovery
- Automated localization prediction module in omics projects
Model Performance Metrics
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--- Overall Test Set Performance Report ---
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- Accuracy: 0.9111
- Weighted F1: 0.9102
- Macro F1: 0.8279
- Matthews Correlation Coefficient (MCC): 0.8631
Per-Class MCC:
- MCC for class 'Cytoplasmic': 0.9196
- MCC for class 'Periplasmic': 0.7596
- MCC for class 'CYtoplasmicMembrane': 0.8864
- MCC for class 'Extracellular': 0.8029
- MCC for class 'Cellwall': 0.6789
- MCC for class 'OuterMembrane': 0.8069
Classification Report:
precision recall f1-score support
Cytoplasmic 0.95 0.98 0.96 507
Periplasmic 0.74 0.80 0.77 46
CYtoplasmicMembrane 0.92 0.90 0.91 217
Extracellular 0.84 0.81 0.82 104
Cellwall 0.65 0.72 0.68 18
OuterMembrane 0.92 0.73 0.81 75
accuracy 0.91 967
macro avg 0.84 0.82 0.83 967
weighted avg 0.91 0.91 0.91 967
Confusion Matrix:
Cytoplasmic Periplasmic CYtoplasmicMembrane Extracellular Cellwall OuterMembrane
Cytoplasmic 496 4 3 1 0 3
Periplasmic 3 37 3 3 0 0
CYtoplasmicMembrane 11 3 196 3 3 1
Extracellular 8 4 4 84 3 1
Cellwall 1 0 1 3 13 0
OuterMembrane 5 2 6 6 1 55
Last updated: 2026-04-01