metadata
license: mit
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.
The digital label means:
0: No
1: Yes
Splits
Structure type: 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
Data format
We organize all data in LMDB format. The architecture of the databse is like:
length: The number of samples
0:
- name: The PDB ID of the protein
- chain: The chain ID of the protein
- seq: The structure-aware sequence
- label: Digital label of the sequence
1:
···