SaProtHub/Dataset-Binary_Localization-DeepLoc
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" . Protein Format: SA sequence (AF2) Splits 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)… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-Binary_Localization-DeepLoc.
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" .
Protein Format: SA sequence (AF2)
Splits
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
Label
0: membrane-bound
1: soluble