Datasets:
ShieldBreaker Benchmark Dataset
Overview
The ShieldBreaker Benchmark Dataset is a comprehensive collection of anti-CRISPR protein sequences and structures, designed for machine learning research in CRISPR-Cas system inhibition. This dataset contains both positive (anti-CRISPR) and negative (non-anti-CRISPR) samples with dual-modal data representations.
Dataset Structure
ShieldBreaker_Upload/
├── positive/
│ ├── fasta/
│ │ └── benchmark_positive_filtered.fasta
│ └── pdb/
│ └── [1,421 PDB structure files]
├── negative/
│ ├── fasta/
│ │ └── negative_changename_filtered.fasta
│ └── pdb/
│ └── [52,824 PDB structure files]
└── README.md
Data Description
Positive Samples
Anti-CRISPR proteins that actively inhibit CRISPR-Cas systems:
- FASTA format: 1,421 protein sequences with standardized naming convention
- PDB format: 1,421 corresponding 3D protein structures
- Naming:
anti_CRISPR{ID}_{Accession}_{AcrFamily}_{Genus}_label_1ornew_{ID}_{Accession}_{AcrFamily}_{Genus}_label_1Among these, the naming format starting with new_ refers to newly collected samples based on antiCRISPRdb 2.2
Negative Samples
Non-anti-CRISPR proteins used as negative controls:
- FASTA format: 52,824 protein sequences (105,648 lines total)
- PDB format: 52,824 corresponding 3D protein structures
- Naming: Standardized protein identifiers with label information
- Source: Carefully selected from all prokaryotic species based on their evolutionary characteristics.
File Formats
FASTA Files
- Standard FASTA format with protein sequences
- Header information includes accession numbers, protein families, and organism taxonomy
- All sequences have been filtered and preprocessed
PDB Files
- Protein Data Bank (PDB) format containing 3D atomic coordinates
- Standard ATOM records with positions, element types, and connectivity
- Each structure corresponds to its respective sequence in the FASTA files
- Prediction Tool: All PDB structures in this dataset are predicted using ESMFold.
Dataset Statistics
| Category | FASTA Files | PDB Files | Total Sequences |
|---|---|---|---|
| Positive | 1 | 1,421 | 1,421 |
| Negative | 1 | 52,824 | 52,824 |
| Total | 2 | 54,245 | 54,245 |
Applications
This dataset is designed for:
- Anti-CRISPR protein prediction and classification
- Machine learning model training and benchmarking
- Structure-function relationship analysis
- Protein sequence-structure studies
- CRISPR-Cas system inhibition research
Usage
When using this dataset, please cite the appropriate source and acknowledge that this is a benchmark dataset for anti-CRISPR protein research.
Notes
- All protein structures have been preprocessed and standardized
- The dataset maintains a 1:1 mapping between FASTA sequences and PDB structures
- Negative samples have been curated to provide challenging non-anti-CRISPR examples
- Data has been filtered for quality and consistency
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