metadata

license: mit
configs:
  - config_name: dataset
    data_files: dataset.csv

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" .

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

Label

0: membrane-bound

1: soluble