SaProtHub/Dataset-Metal_Ion_Binding
Description Metal Ion Binding prediction is a binary classification task where each input protein x is mapped to a label y ∈ {0, 1}, corresponding to whether there are metal ion–binding sites in the protein. Splits Protein Format: SA sequence (PDB) The dataset is from Exploring evolution-aware & -free protein language models as protein function predictors. We employ all proteins from the original dataset, and split them based on 70% structure similarity (see… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-Metal_Ion_Binding.
Description
Metal Ion Binding prediction is a binary classification task where each input protein x is mapped to a label y ∈ {0, 1}, corresponding to whether there are metal ion–binding sites in the protein.
Splits
Protein Format: SA sequence (PDB)
The dataset is from **Exploring evolution-aware & -free protein language models as protein function predictors**. We employ all proteins from the original dataset, and split them based on 70% structure similarity (see ProteinShake), with the number of training, validation and test set shown below:
- Train: 5797
- Valid: 719
- Test: 719
Label
The label means whether there are metal ion–binding sites in the protein.
0: No
1: Yes