Deep dive into result interpretation and validation
Follow this structured sequence to master advanced analysis
Deep dive into multiple sequence alignments: how they work, why they're crucial for AlphaFold2, and what to do when they fail.
Protogen Team
Computational Biologists
Master the art of reading Predicted Aligned Error matrices to understand domain organization, interface confidence, and relative positioning.
Structural Biologists
A comprehensive quality assurance guide: from confidence metrics to experimental validation, ensuring your AlphaFold2 predictions are publication-ready.
Master AlphaFold2-Multimer: learn to predict protein complexes, interpret ipTM and interface PAE, and validate predicted interfaces with confidence.
Advanced guide to structural templates and MSA customization: learn when templates help or hurt, and how to optimize MSA searches for difficult targets.
Comprehensive guide to interpreting AlphaFold2 confidence scores: learn what pTM and ipTM really measure and how to combine metrics for reliable assessment.
Master structural comparison techniques: learn to superimpose structures, calculate RMSD, and validate AlphaFold2 predictions against experimental data.
Understand how AlphaFold2 handles protein disorder: learn to distinguish true disorder from prediction failures and interpret low confidence scores correctly.
Apply what you've learned with real protein structure predictions