LIVIA — Ortholog Interactome
Analyze ortholog protein interactions, primarily human kinase-TF predictions (Kim et al., 2025), from FlyPredictome ortholog predictions
Analyze ortholog protein interactions, primarily human kinase-TF predictions (Kim et al., 2025), from FlyPredictome ortholog predictions
| Rank | Symbol 1 | Symbol 2 | iLIS | iLIA | iLISA | ipTM | pDockQ | LIpDockQ | LIR (A/B) | cLIR (A/B) | Len (A/B) |
|---|
.cxc) or PyMOL (.pml)| iLIS | integrated LIS — √(LIS × cLIS) |
| iLIA | 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) |
| ipTM | interface predicted TM-score — global interface confidence from the prediction model |
| pDockQ | predicted DockQ from the mean pLDDT of the interface and the number of contacting residue pairs (Cβ ≤ 8 Å), with no PAE (Bryant et al., 2022) |
| LIpDockQ | the pDockQ formula computed only on cLIR pairs (PAE ≤ 12 Å and Cβ ≤ 8 Å), so contacts the PAE does not support no longer count (Kim & Perrimon, 2026) |
pDockQ2 and LIpDockQ2 need the numeric PAE, which this source does not provide. Because their constants were fitted to DockQ on the original interfaces, LIpDockQ and LIpDockQ2 rank predictions; they are not DockQ estimates.
PAE (Predicted Aligned Error) measures how confidently the model predicts the relative position of two residues — lower values indicate higher confidence.