Structure Class Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Structure Class Prediction. • 2 items • Updated
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Description
Structural Class Prediction is a multi-class classification task to predict the correct structural class of given protein. This task is is built on the SCOP database.
Protein Format: SA sequence (PDB)
Splits
The dataset is from ProteinShake Building datasets and benchmarks for deep learning on protein structures. We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
- Train: 7990
- Valid: 955
- Test: 1005
Label
The labels include 3,042 correct structural classes, ranging from 0 to 3,041.
For more details, please refer to ProteinShake Building datasets and benchmarks for deep learning on protein structures.
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