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3.55 kB
| readme: "true" | |
| language: | |
| - en | |
| tags: | |
| - anti-CRISPR # 如果是文本就改成 text-classification | |
| - benchmark | |
| - Acr | |
| task_categories: | |
| - text-classification | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: positive | |
| path: "positive.tar.gz" | |
| - split: negative | |
| path: "negative.tar.gz" | |
| # 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_1` or `new_{ID}_{Accession}_{AcrFamily}_{Genus}_label_1` | |
| Among 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 | |