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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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# Description |
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Structure Similarity Prediction predicts the (aligned) Local Distance Difference Test (LDDT) of the structures given an unaligned pair of proteins. Target values are computed after alignment with TM-align for all pairs of 1000 randomly sampled single-chain proteins. |
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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://papers.nips.cc/paper_files/paper/2023/file/b6167294ed3d6fc61e11e1592ce5cb77-Paper-Datasets_and_Benchmarks.pdf). 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: 300699 |
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- Valid: 4559 |
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- Test: 4850 |
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# Label |
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The label means the (aligned) Local Distance Difference Test (LDDT) of the structures given an unaligned pair of proteins. Target values are computed after alignment with TM-align for all pairs of 1000 randomly sampled single-chain proteins. This value ranges from 0 to 1. |
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