metadata
license: mit
Description
Thermostability prediction is a regression task where each input protein x is mapped to a label y ∈ R, corresponding to the thermostability of x.
Splits
Structure type: AF2
The dataset is from FLIP: Benchmark tasks in fitness landscape inferencefor proteins. We employ all proteins from the“Human-cell”splits (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: 5310
- Valid: 706
- Test: 706
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
fitness: fitness label of the sequence
1:
···