{
  "id": 9851412,
  "title": "LoGoPPI enables fast and accurate protein protein interaction mapping at scale",
  "url": "https://urgent.news/2026/09/25/logoppi-enables-fast-and-accurate-protein-protein-interaction-mapping",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-25T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.20.753039v1?rss=1"
  },
  "original_language": "en",
  "account": "Graph-based methods for analyzing protein function are highly effective, yet PPI networks are currently available for only a limited subset of animal and plant genomes. Introducing LoGoPPI, a novel approach that infers PPIs from sequences by merging bi-encoder global protein representations with local residue-level late interaction information. LoGoPPI matches or surpasses the performance of state-of-the-art PLM-based cross-encoders, while delivering inference speeds up to 1,500 times faster. Its local branch provides residue-level signals that pinpoint interaction interfaces and structurally flexible regions. This remarkable efficiency allows for practical proteome-wide PPI reconstruction at scales previously unattainable for cross-encoder models. By scaling PPI mapping to tens of thousands of animal and plant species, LoGoPPI offers a scalable framework for conducting comprehensive comparative and functional analysis of protein networks across diverse taxa.",
  "summary": "Graph-based protein function analysis is powerful, but protein-protein interaction (PPI) networks exist for only a small fraction of animal and plant genomes. We present LoGoPPI, which infers PPIs from sequence by combining bi-encoder global protein representation with local residue-level late interaction. LoGoPPI matches or exceeds state-of-the-art PLM-based cross-encoders while achieving…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}