scPDB-Enhanced: An expansion of scPDB including all experimentally observed binding sites
Authors/Creators
Description
Overview
The scPDB is one of the most widely used datasets for training ligand binding site (LBS) predictors. However, it has a significant limitation: it includes only one ligand per structure, usually focusing on the primary orthosteric site and omitting other valid binding cavities.
To overcome this, we cross-referenced scPDB entries with AHoJ-DB to identify all ligands, and thus all binding sites, experimentally observed across all available conformations of a given protein. By aggregating these observations, we provide a ground truth that includes sites often missed in the original dataset.
Files Description
1. scPDB-sites.csv
A list of individual binding sites. Each row represents a single site identified in a specific protein structure.
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Format:
PDB_ID;Chain;Ligand_Name;Residue_Indices -
Example:
1uh5;B;NAD;104 105 106 110 111 112 131 134 167 168 169 170 215 ... - Note: Ligand_Name=UNKNOWN denotes binding sites from the original scPDB dataset.
The residue indices labelling is auth (i.e., auth_seq_id)
2. scPDB-train.csv
The primary file for model training. This file merges all identified binding sites for each unique protein and maps them directly onto the primary sequence.
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Format:
PDB_ID;Chain;Binding_Residues;Full_Sequence -
Note: Binding residues are listed as
ResidueType + Index(e.g., G8) The residue indices use 0-based indexing, allowing for direct indexing into the sequence string (e.g., an index of 8 refers to the 9th position in the sequence). -
Example:
1uh5;B;G8 I9 G10 G14 Y15 ...;NEDICFIAGIGDTNGYGWGIAKEL...
Files
scPDB-train.csv
Files
(40.9 MB)
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Additional details
Software
- Repository URL
- https://github.com/skrhakv/seq2pocket