🚀 New tool out! LIVIA (Local Interaction Visualization and Analysis) — a browser-based tool for assessing and visualizing predicted protein-protein interactions. Drop in a prediction from AlphaFold-Multimer, AF3, ColabFold, Boltz-1/2, Chai-1, or OpenFold3 (ZIP or folder, auto-detected) and LIVIA answers the two questions you actually care about: ▸ Do these proteins interact? ▸ Which residues form the interface? What you get: ▸ Interface confidence scores — iLIS (our local metric), ipSAE, actifpTM, ipTM ▸ Interaction interface heatmaps (PAE, LIS, cLIS) ▸ Sequence viewer + linear & circular contact maps highlighting Local Interaction Residues (LIR) and contact LIR (cLIR) ▸ Embedded Mol* 3D viewer ▸ Downloadable ChimeraX & PyMOL scripts Also fetches dimers directly from the AlphaFold Database — adding the interface annotations AFDB doesn't provide. Everything runs locally in your browser. No install, no upload. LIVIA started as a personal tool — I built it with Claude Code and used it to make every structure figure in our FlyPredictome preprint (Kim et al., 2026). (Claude Code is truly insane...) Along the way I realized it could be useful for others, too. If you have a favorite color palette for structure visualization, please let me know — happy to add it as a preset 🎨 🔗 LIVIA tool: flyark.github.io/LIVIA 🐍 iLIS / batch CLI: github.com/flyark/AFM-LIS 📄 LIVIA preprint: biorxiv.org/content/10.64898… 📄 FlyPredictome preprint: biorxiv.org/content/10.64898…

🎥 The AlphaFold-Multimer prediction for your protein looks great. But how confident should you actually be in it? Razan Abbara breaks down the 5 confidence metrics behind every AFDB multimer entry: pLDDT · ipTM · ipSAE · pDockQ2 · LIS👇 youtu.be/k4yBqddtPyQ #AlphaFold #AFDB