license: mit
Description
Binary Localization prediction is a binary classification task where each input protein x is mapped to a label y ∈ {0, 1}, corresponding to either "membrane-bound" or "soluble" .
The digital label means:
0: membrane-bound
1: soluble
Splits
Structure type: AF2
The dataset is from DeepLoc: prediction of protein subcellular localization using deep learning. We employ all proteins (proteins that lack AF2 structures are removed), and split them based on 70% structure similarity (see ProteinShake), with the number of training, validation and test set shown below:
- Train: 6707
- Valid: 698
- Test: 807
Data format
We organize all data in LMDB format. The architecture of the databse is like:
length: The number of samples
0:
name: The UniProt ID of the protein
seq: The structure-aware sequence
label: classification label of the sequence
1:
···