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README.md
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license: mit
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---
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license: mit
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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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# Data format
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We organize all data in LMDB format. The architecture of the databse is like:
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**length:** The number of samples
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**0:**
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- **name:** The UniProt ID of the protein
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- **seq:** The structure-aware sequence
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- **plddt**: pLDDT values at all positions
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- **fitness:** fitness label of the sequence
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**1:**
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**···**
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