Drag the sliders to set the Cα–Cα distance for each residue (after optimal superposition). All four scores recompute in real time. Try the presets to see how each metric responds to the same prediction.
TM-score Zhang & Skolnick, 2004.
TM = (1/L) · Σᵢ 1 / (1 + (dᵢ/d₀)²) d₀ = max( 1.24 · ∛(L - 15) - 1.8 , 0.5 )
0 — unrelated · 0.17 random · > 0.5 = same fold · 1 = identical
GDT_TS Zemla, 1999.
GDT_TS = (P₁ + P₂ + P₄ + P₈) / 4 Pₓ = 100 · (# residues within x Å) / L The four Pₓ are cumulative (nested), not exclusive bins.
GDT_HA = same recipe, tighter thresholds 0.5, 1, 2, 4 Å. Used for high-quality predictions.
RMSD = √(mean of dᵢ²) — sensitive to outliers, no length normalization.