Thresholds based on large-scale Y2H reference sets in yeast, fly, and human predicted using ColabFold. See Kim et al. 2025 for iLIS benchmark details. Different platforms may require different thresholds.
Score Matrix
Lower-left: iLIS (Oranges). Upper-right: iLIA (Greens). Diagonal: self.
Predicted Aligned Error (PAE) Maps
0Predicted Aligned Error (Å)30
Local Interaction Score (LIS) Maps (PAE ≤ 12 Å)
0Local Interaction Score (LIS)1
contact Local Interaction Score (cLIS) Maps (PAE ≤ 12 Å & Cβ ≤ 8 Å)
0contact Local Interaction Score (cLIS)1
Sequence Viewer
Light background = LIR (PAE ≤ 12 Å). Dark background with white text = cLIR (PAE ≤ 12 Å & Cβ ≤ 8 Å). Each chain uses its own color.
Linear Contact Map
Lines connect cLIR residue pairs within Cβ distance in the 3D structure. Color gradient from chain A to chain B.
Circular Contact Map
Arcs represent chains. Lines connect cLIR residue pairs in physical contact across all chain pairs.
Selected Model
All Models Combined
3D Structure Viewer
Interactive 3D preview powered by Mol* (Sehnal et al. 2021). LIR regions shown as cartoons; cLIR residues highlighted. Drag to rotate, scroll to zoom.
Visualization Script
Fill gaps ≤residues|Min segment ≥residues
Gap filling bridges short breaks for continuous cartoon. Min segment removes isolated LIR fragments shorter than the threshold.
Place the script and structure files in the same folder, then open the script in ChimeraX or PyMOL. "All Chains" shows every chain with LIR regions, colored by chain.
integrated LIA — √(LIA × cLIA), geometric mean of interface area counts
iLISA
integrated LISA — iLIS × iLIA, overall binding strength
LIS
Local Interaction Score — normalized PAE confidence (0–1)
cLIS
contact-filtered LIS — restricted to direct contacts
LIR
Local Interaction Residues (PAE ≤ 12 Å)
cLIR
contact-filtered LIR (PAE ≤ 12 Å & Cβ ≤ 8 Å)
Confidence Metrics (from prediction platform)
ipTM
interface predicted TM-score — global interface confidence from the prediction model
ipSAE
interaction prediction Score from Aligned Errors (Dunbrack, 2025)
PAE (Predicted Aligned Error) measures how confidently the model predicts the relative position of two residues — lower values indicate higher confidence.
References
Kim et al. 2024 — Enhanced PPI Discovery via AlphaFold-Multimer
Kim et al. 2025 — A Structure-Guided Kinase–Transcription Factor Interactome Atlas