Stability Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Stability Prediction. • 2 items • Updated
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Description
Stability Landscape Prediction is a regression task where each input protein x is mapped to a label y ∈ R measuring the most extreme circumstances in which protein x maintains its fold above a concentration threshold (a proxy for intrinsic stability).
Protein Format: AA sequence
Splits
The dataset is from Evaluating Protein Transfer Learning with TAPE. We follow the original data splits, with the number of training, validation and test set shown below:
- Train: 53614
- Valid: 2512
- Test: 12851
Label
The label is the fitness of the protein measuring the most extreme circumstances in which the protein maintains its fold above a concentration threshold (a proxy for intrinsic stability).
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