HangboZhu
Update The Data Overview
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metadata
readme: 'true'
language:
  - en
tags:
  - anti-CRISPR
  - 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