metadata

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

Description

Subcellular Localization prediction is a 10-class classification task to predict where a protein locates in the cell, where each input protein x is mapped to a label y ∈ {0, 1, ..., 9}.

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: 10414
Valid: 1368
Test: 1368

Label

0: Nucleus

1: Cytoplasm

2: Extracellular

3: Mitochondrion

4: Cell.membrane

5: Endoplasmic.reticulum

6: Plastid

7: Golgi.apparatus

8: Lysosome/Vacuole

9: Peroxisome