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license: mit |
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configs: |
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- config_name: dataset |
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data_files: "dataset.csv" |
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--- |
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# Description |
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Thermostability prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R*, corresponding to the thermostability of *x*. |
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# Splits |
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**Structure type:** AF2 |
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The dataset is from [**FLIP: Benchmark tasks in fitness landscape inferencefor proteins**](https://www.biorxiv.org/content/10.1101/2021.11.09.467890v2). 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](https://github.com/BorgwardtLab/proteinshake/tree/main)), with the number of training, validation and test set shown below: |
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- Train: 5310 |
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- Valid: 706 |
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- Test: 706 |
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# Label |
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This label indicates the thermostability of the protein, ranging from 0 to 1. |
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