AlphaFold 3 CRISPR Complex Predictor: Structural Basis for Gene Editing
This protocol predicts CRISPR Cas protein-guide RNA binary complexes and Cas-gRNA-DNA ternary complexes using AlphaFold 3. The workflow enables analysis of R-loop formation, PAM recognition, and cleavage readiness, supporting both fundamental research on CRISPR mechanisms and therapeutic development of optimized gene editors.
AlphaFold 3 CRISPR Complex Predictor: Structural Basis for Gene Editing
Abstract
This protocol predicts Cas protein-guide RNA (gRNA) binary complexes and Cas-gRNA-DNA ternary complexes using AlphaFold 3.
Motivation
CRISPR-Cas structure is fundamental to:
- Specificity: Understanding target discrimination
- Efficiency: Predicting cleavage activity
- Safety: Anticipating off-target effects
Our protocol provides rapid complex prediction and hypothesis generation for variant design.
Methodology
Component Representation
- Cas Proteins: Full-length sequences including RuvC, HNH, PI, and REC domains
- Guide RNA: crRNA, tracrRNA + spacer, or engineered sgRNA
- Target DNA: Protospacer + PAM sequence
Key Features Analyzed
| Feature | Structural Indicator | Functional Implication |
|---|---|---|
| PAM recognition | PI domain contacts PAM | Target specificity |
| R-loop | Spacer:target pairing | Cleavage readiness |
| HNH positioning | Domain movement | Cleavage readiness |
Expected Outcomes
For Cas9-sgRNA-DNA: Overall pLDDT 85-95, PAM contact confidence High.
Limitations
- Does not capture conformational dynamics of cleavage
- Mg²⁺ positioning not modeled
- Transient intermediates not captured
References
- Abramson et al., Nature, 2024
- Jinek et al., Science, 2012
Reproducibility: Skill File
Use this skill file to reproduce the research with an AI agent.
--- name: alphafold3-crispr-cas-protocol description: Predict CRISPR Cas protein-guide RNA ternary complex structures using AlphaFold 3, analyzing R-loop formation and DNA cleavage readiness. allowed-tools: WebFetch, Bash(python *), Bash(mkdir *), Bash(cp *), Bash(ls *), Bash(jq *), Bash(cd *) --- # AlphaFold 3 CRISPR Cas-gRNA Complex Predictor Protocol ## Purpose Predict the structure of CRISPR Cas proteins bound to guide RNA and optionally target DNA. ## Inputs - `inputs/cas_protein.json`: AlphaFold 3 JSON for the Cas protein. - `inputs/grna.fasta`: Guide RNA sequence. - `inputs/target_dna.fasta` (optional): Target DNA sequence. - `inputs/metadata.md`: Cas variant name, PAM sequence. ## Pre-Run Checks 1. Confirm research use is permitted. 2. Validate protein sequence uses standard amino acid codes. 3. Verify gRNA sequence contains valid nucleotides. 4. Check PAM sequence is correct for the Cas variant. ## Step 1: Prepare Components Ensure full-length Cas sequence and properly formatted gRNA. ## Step 2: Prepare AlphaFold 3 Input Create complex JSON with Cas protein, gRNA, and optional DNA chains. ## Step 3: Run Prediction Submit complex to AlphaFold 3. ## Step 4: Analyze Complex Structure Extract PAM recognition, R-loop formation, and domain positioning. ## Step 5: Assess Key Features Check PAM recognition, R-loop formation, and catalytic readiness. ## Success Criteria - Complex is predicted with all components present. - Structural features (PAM, R-loop, domains) are interpretable. - Confidence metrics are reported for each component. ## Failure Modes - Prediction fails → try binary complex first - Very low pLDDT for DNA → may indicate modeling limitation ## References - AlphaFold 3: Abramson et al., Nature, 2024
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