{"entity": "publication", "iuid": "88252ebc10a449979d18cca59e14b2bc", "timestamp": "2026-08-20T20:43:12.450Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/88252ebc10a449979d18cca59e14b2bc.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/88252ebc10a449979d18cca59e14b2bc"}}, "title": "Unlocking protein networks with Predictomes: The SPOC advantage.", "authors": [{"family": "Elofsson", "given": "Arne", "initials": "A"}], "type": "journal article", "published": "2025-03-20", "journal": {"title": "Mol. Cell", "issn": "1097-4164", "volume": "85", "issue": "6", "pages": "1050-1051", "issn-l": "1097-2765"}, "abstract": "In this issue of Molecular Cell, Schmid and Walter present \"Predictomes,\"1 a machine-learning-based platform that utilizes AlphaFold-Multimer (AF-M) to identify high-confidence protein-protein interactions (PPIs). Their SPOC classifier is better than existing methods at separating true and false interactions.", "doi": "10.1016/j.molcel.2025.02.010", "pmid": "40118037", "labels": [], "xrefs": [{"db": "pii", "key": "S1097-2765(25)00141-8"}], "notes": [], "created": "2026-08-20T08:01:22.421Z", "modified": "2026-08-20T08:01:22.437Z"}