Running ESM2-650M + XGBoost…

ESM2-650M · XGBoost · 351,847 Sites

Protein Ubiquitination Site Prediction

Deep-learning embeddings from ESM2-650M + gradient-boosted XGBoost — trained on 351,847 experimentally verified sites.

FASTA or plain text. Min 51 AA. Only lysine (K) residues are scored.
Load example sequence
Settings
ESM2-650M + XGBoost
ROC-AUC 0.937 F1 0.814 PR-AUC 0.862
0.45
0.30 · sensitive 0.70 · strict
Model: ESM-2 + XGBoost
Threshold: 0.45
Training sites: 351,847
1
Paste Sequence
FASTA or plain amino acids
2
ESM2-650M Encode
1280-dim layer-33 embeddings
3
XGBoost Score
K-site probability 0 → 1
4
Results & Export
CSV / JSON / TSV download