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Dataset-Binding_Site_Detection-ProteinShake

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104
9.28k
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156
13.9k
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1 value
6s56
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train
2xbp
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train
6nwl
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train
4j7e
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train
4zzd
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train
3re4
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train
6eqw
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train
1v7a
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train
3n9r
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train
4ad2
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train
4duh
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train
6p3v
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train
4qyy
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train
1ws4
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train
3fx6
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train
1p19
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train
6t1i
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train
2ya6
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train
5nwi
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train
1ydt
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train
4g0y
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train
6r8w
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train
2hmv
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train
2xn3
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train
4aqh
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train
1ydk
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train
1ssq
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train
4hwp
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train
2vvn
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train
3f19
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train
5cxa
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train
4k18
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train
5aqz
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train
5hbn
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train
5m17
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train
6e1y
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train
4mme
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train
3i4y
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train
1z95
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train
4asj
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train
6en5
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train
3k4d
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train
3q1x
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train
2pu1
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train
5std
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train
1u33
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train
4n8q
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train
3o7u
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train
4gqq
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train
6md6
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train
6aro
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train
6jon
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train
2bfq
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train
2uxi
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train
3f34
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train
2fvd
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train
6o9c
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train
5lsh
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train
5vh0
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train
4lrr
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train
2r58
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train
3zln
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train
1szd
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train
4cd5
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train
3hfb
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train
187l
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train
4ca7
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train
2gvv
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train
3cj5
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train
5d6j
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train
3ta1
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train
3iqu
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train
4k0y
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train
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Description

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.

Splits

Structure type: PDB

The dataset is from ProteinShake Building datasets and benchmarks for deep learning on protein structures. We use the splits based on 70% structure similarity, with the number of training, validation and test set shown below:

  • Train: 2368
  • Valid: 442
  • Test: 464

Data format

We organize all data in LMDB format. The architecture of the databse is like:

length: The number of samples

0:

  • name: The PDB ID of the protein
  • seq: The structure-aware sequence
  • label: Classification labels of all residues

1:

···

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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
3,274

Collection including SaProtHub/Dataset-Binding_Site_Detection-ProteinShake