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Docker
Protein-Protein Docking
Quality Assessment
ModFOLDdock2Q
Quality assessment of protein-protein complex models using deep learning and structural features.
ModFOLDdock2Q
Comprehensive quality assessment for protein-protein complexes. Leverages deep learning to predict docking accuracy.
Docker
Deep Learning
GitHub
⚡
Seconds per Complex
End-to-end quality assessment pipeline for protein complexes
🐳 Docker Installation
$ docker pull radiyaman/modfolddock2q
🧠
Deep Learning QA
Neural networks trained on CASP competition data
📊
Multi-metric Scoring
Combines structural and energetic features
🚀
Fast Processing
Analyze complexes in seconds
Usage Example
# Run ModFOLDdock2Q on your complex
docker run -v $(pwd):/data radiyaman/modfolddock2q \
-i /data/complex.pdb \
-o /data/output