From: Comparative Assessment of Protein Large Language Models for Enzyme Commission Number Prediction
Method | Accuracy | |||
---|---|---|---|---|
level 1 | level 2 | level 3 | level 4 | |
CLEAN | 1.000 | 0.972 | 0.944 | 0.944 |
ProteInfer | 0.611 | 0.388 | 0.083 | 0.694 |
DNN ESM2 3B | 0.917 | 0.917 | 0.500 | 0.805 |
DNN ESM1b | 0.917 | 0.917 | 0.500 | 0.833 |
DNN ProtBERT | 0.805 | 0.917 | 0.528 | 0.750 |
Models Ensemble | 0.917 | 0.917 | 0.500 | 0.833 |
BLASTp | 0.750 | 0.639 | 0.194 | 0.583 |
Models + BLASTp | 0.917 | 0.917 | 0.555 | 0.833 |