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README.md
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---
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task_categories:
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- feature-extraction
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language:
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- en
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tags:
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- biology
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- chemistry
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- drug
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license: apache-2.0
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size_categories:
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- 1M<n<10M
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---
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🔧[Code](https://github.com/spatialdatasciencegroup/Decoy_DB), 📂[Dataset](https://huggingface.co/datasets/YupuZ/DecoyDB)
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## Dataset Summary
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DecoyDB is a curated dataset of high-resolution protein-ligand complexes and their associated decoy structures. It is designed to support research on graph contrastive learning, binding affinity prediction, and structure-based drug discovery. The dataset is derived from experimentally resolved complexes and refined to ensure data quality.
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## Data Structure
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Each protein-ligand complex is stored in a nested directory under DecoyDB/, using the format:
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```plaintext
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DecoyDB
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├── README.md # This file
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├── merged_decoy_scores.csv # RMSD and Vina score for all decoys
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├── structures.zip # Structures for proteins, ligands and decoys
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├── {prefix}/ # {prefix} = first 2 characters of the complex ID (e.g., '1A', '2B')
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│ └── {complex_id}/ # Unique identifier for each complex (e.g., 1A2C_H1Q)
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│ ├── {complex_id}_ligand.pdbqt # Ligand structure in AutoDock format
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│ ├── {complex_id}_target.pdbqt # Protein structure in AutoDock format
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│ ├── {complex_id}_decoys.pdbqt # Concatenated decoy structures
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│ └── {complex_id}_decoys_scores.csv # Corresponding RMSD scores for each decoy
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```
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## Dataset Details
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### Dataset Refinement
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To construct DecoyDB, we first filtered protein–ligand complexes from the Protein Data Bank (PDB) with a resolution ≤ 2.5 Å and applied the following refinement steps:
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- Removed ligands with molecular weights outside the (50, 1000) range.
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- Excluded complexes involving metal clusters, monoatomic ions, and common crystallization molecules.
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- Retained ligands with elements limited to C, N, O, H, S, P, and halogens.
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- Retained those protein chains with at least one atom within 10 Å of the ligand.
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- Saved the ligand and protein separately.
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### Decoy Generation
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For each refined protein–ligand complex, **100 decoy poses** were generated using **AutoDock Vina 1.2**, with a 5 Å padding grid box and an exhaustiveness parameter of 8 and remove unrealistic generated structures.
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## Dataset Statistics
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- Number of protein–ligand complexes: **61,104**
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- Number of decoys: **5,353,307**
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- Average number of decoys per complex: **88**
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- Average RMSD: **7.22 Å**
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- RMSD range: **[0.03, 25.56] Å**
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## Contact
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- Yupu Zhang (y.zhang1@ufl.edu)
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- Zhe Jiang (zhe.jiang@ufl.edu)
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