Structural Biology Analysis

When to Use This Skill

• When analyzing protein or molecular structures
• When interpreting AlphaFold predictions
• When comparing experimental vs predicted structures
• When validating crystallographic or cryo-EM models

Core Topics

This skill covers:

1. AlphaFold Confidence Interpretation – Understanding pLDDT scores and prediction reliability
2. Structure Comparison – Methods for comparing and aligning structures
3. Validation Metrics – Assessing model quality (R-factors, Ramachandran, clashscores)
4. Interpreting Discrepancies – Understanding differences between predicted and experimental structures

Reference Files

For detailed guidance on specific topics, see:

• alphafold-confidence.md – Interpreting AlphaFold confidence scores
• comparing-structures.md – Structure alignment and comparison methods
• validation-metrics.md – Quality metrics for structural models
• interpreting-discrepancies.md – Analyzing structural differences

Key Principles

Structure quality matters: Always check validation metrics before drawing biological conclusions.

Context is crucial: A “bad” region in a structure might be genuinely disordered, not a modeling error.

Multiple methods: Use multiple validation approaches; no single metric tells the whole story.