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| license: mit
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| ---
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| # Description
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| Structural Class Prediction is a multi-class classification task to predict the correct structural class of given protein. This task is is built on the SCOP database.
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| # Splits
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| **Structure type:** PDB
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| The dataset is from [**ProteinShake Building datasets and benchmarks for deep learning on protein structures**](https://academic.oup.com/bioinformatics/article/33/21/3387/3931857). We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:
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| - Train: 7990
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| - Valid: 955
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| - Test: 1005
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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 PDB ID of the protein
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| - **chain:** The chain 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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| - **label:** classification label of the sequence
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| **1:**
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| **···** |