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  1. .gitattributes +3 -0
  2. README.md +29 -0
  3. test/data.mdb +3 -0
  4. test/lock.mdb +0 -0
  5. train/data.mdb +3 -0
  6. train/lock.mdb +0 -0
  7. valid/data.mdb +3 -0
  8. valid/lock.mdb +0 -0
.gitattributes CHANGED
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  *.webp filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.webp filter=lfs diff=lfs merge=lfs -text
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+ test/data.mdb filter=lfs diff=lfs merge=lfs -text
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+ train/data.mdb filter=lfs diff=lfs merge=lfs -text
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+ valid/data.mdb filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
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  ---
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  license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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  ---
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+ # Description
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+ Binding Site Detection predicts , predict whether a protein residue belongs to a small molecule binding cavity. Binding site residues are those within the binding pocket provided by PDBBind. Default metric is Matthew's Correlation.
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+
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+ # Splits
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+
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+ **Structure type:** PDB
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+
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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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+
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+ - Train: 2368
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+ - Valid: 442
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+ - Test: 464
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+
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+ # Data format
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+
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+ We organize all data in LMDB format. The architecture of the databse is like:
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+
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+ **length:** The number of samples
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+
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+ **0:**
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+
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+ - **name:** The PDB ID of the protein
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+ - **seq:** The structure-aware sequence
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+ - **label:** Classification labels of all residues
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+
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+ **1:**
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+
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+ **···**
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+
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