CORE PLATFORM
Model Compare
Run four AI models simultaneously and see where they agree — and where they don't
What it does
- ·Shows Alpha, Beta, Gamma, Delta predictions side by side in a 2×2 grid
- ·Computes real RMSD between models — tells you how different the predictions are in ångströms
- ·Highlights residues where models disagree — these are the uncertain regions that need experimental validation
- ·Recommended badge automatically identifies the best model for your input type
Why this matters (plain English)
"No single AI model is always right. When three out of four models predict the same structure, you can be much more confident. When they disagree, that's where the biology gets interesting."
Key metrics explained
- ·
Mean pLDDT— average confidence score across all residues (0–100) - ·
RMSD— how far apart two structures are in 3D space (lower = more similar) - ·
DockQ— quality score for protein-protein docking predictions