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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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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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+
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+ ### Decoy Generation
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+
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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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+
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+ ## Dataset Statistics
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+
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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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+
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+ ## Contact
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+
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+ - Yupu Zhang (y.zhang1@ufl.edu)
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+ - Zhe Jiang (zhe.jiang@ufl.edu)