alphafold-predictor

Solid

AlphaFold protein structure prediction skill with confidence assessment and model analysis

AI & Automation 1,160 stars 71 forks Updated today MIT

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Quality Score: 94/100

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Skill Content

# AlphaFold Predictor Skill ## Purpose Enable AlphaFold protein structure prediction with confidence assessment and model analysis. ## Capabilities - Structure prediction execution - pLDDT confidence scoring - PAE analysis - Multi-chain complex prediction - Template-based refinement - ColabFold integration ## Usage Guidelines - Review pLDDT scores for prediction confidence - Analyze PAE for domain boundaries - Predict complexes for multi-protein assemblies - Use templates when homologs exist - Validate predictions against experimental data - Document model versions and parameters ## Dependencies - AlphaFold2 - ColabFold - RoseTTAFold ## Process Integration - Protein Structure Prediction (protein-structure-prediction) - Molecular Docking and Virtual Screening (molecular-docking)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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