hub
PPI · Protein-Protein Interaction
Example PPI Model
- Embedding
- ESM2 t12_35M
- Representation
- Pooled
- Layers
- BiLSTM → Linear
- Epochs
- 30
Val accuracy
0.9657
AUROC
0.9919
F1
0.9650
Example Runs
Finished training and inference runs for each task, kept permanently so you can explore every results page before training your own model. They are open to everyone and need no access token.
Training runs
A trained model with its training curves, diagnostics, dataset overview and embedding views.
medication
DTPI · Drug-Target Protein Interaction
Example DTPI Model
- Embedding
- ChemBERTa
ChemBERTa-zinc-base-v1768-dim + ESM2 t12_35M 480-dim - Representation
- Pooled
- Layers
- Linear → BiLSTM
- Epochs
- 30
Val accuracy
0.8084
AUROC
0.8893
F1
0.8121
genetics
RPI · RNA-Protein Interaction
Example RPI Model
- Embedding
- RNA-FM
rnafm640-dim + ESM2 t12_35M 480-dim - Representation
- Pooled
- Layers
- Linear → Linear
- Epochs
- 30
Val accuracy
0.9442
AUROC
0.9787
F1
0.9444
Inference runs
A trained model applied to a labelled test set: scores, metrics, SHAP importance and the interaction hub network.
hub
PPI · Protein-Protein Interaction
Example PPI Inference
- Source model
- 6faa5231
- Input file
- PPI-processed_test_split.csv
- Pairs scored
- 13,168
AUROC
0.9880
AUPRC
0.9866
Accuracy
0.9511
medication
DTPI · Drug-Target Protein Interaction
Example DTPI Inference
- Source model
- aca39852
- Pairs scored
- 5,493
AUROC
0.8848
AUPRC
0.8994
Accuracy
0.8123
genetics
RPI · RNA-Protein Interaction
Example RPI Inference
- Source model
- 1ec1a699
- Pairs scored
- 4,165
AUROC
0.9763
AUPRC
0.9676
Accuracy
0.9436