※ Advanced Services of GPS-SUMO 2.0 
Please click the check box '
' to select your predictor, you can see '
' before the selected one.
1. GPS-SUMO 2.0 (PLR + GSEA): Prediction based on penalized logistic regression + GSEA with the group-based prediction system feature (Also available at the HOME page). 
Speed: 
2. GPS-SUMO 2.0 (Transformer): Prediction based on Transformer with the contextual information. Speed:
3. GPS-SUMO 2.0 (All): Prediction based on all models with all features. Speed:
4. GPS-SUMO 2.0 (Species-specific): Species-specific prediction based on all models with all features. Speed:
5. GPS-SUMO 2.0 (Comprehensive): Prediction based on all models with all features and additional annotations of secondary structure and surface accessibility. Speed:
6. GPS-SUMO 2.0 (Stress conditions): Prediction based on penalized logistic regression, using 39,938 non-redundant SUMOylation sites identified under various stress conditions, such as SUMO protease inhibition, proteasome inhibition and heat shock. Speed:
According to
Sequence(s) in FASTA format UniProt Accession Number(s)
You could input one
UniProt accession number or
multiple proteins' UniProt accession numbers breaking with line breaks.
And please don't input any special characters.
After GPS-SUMO 2.0 predictor model was well-trained, we performed an evaluation on this model. From the evaluation, three thresholds with High, Medium and Low stringency were chosen for GPS-SUMO 2.0. The performance under these three thresholds was presented as follow:
| Threshold | SUMOylation | SUMO interaction | ||||||||
| Ac | Sn | Sp | MCC | Pr | Ac | Sn | Sp | MCC | Pr | |
| High | 88.63% | 57.45% | 95.17% | 0.5749 | 71.39% | 94.64% | 90.06% | 95.17% | 0.7551 | 68.08% |
| Medium | 86.60% | 68.24% | 90.46% | 0.5585 | 60.00% | 90.88% | 98.14% | 90.05% | 0.6823 | 53.02% |
| Low | 84.33% | 75.98% | 85.01% | 0.5293 | 51.54% | 86.80% | 99.38% | 85.36% | 0.6081 | 43.72% |