{"entity": "researcher", "timestamp": "2026-08-22T06:58:04.011Z", "family": "Almagro Armenteros", "given": "Jos\u00e9 Juan", "initials": "JJ", "orcid": "0000-0003-0111-1362", "affiliations": ["Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/9c3e306ea13a428187f7b5e5b5978864.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/9c3e306ea13a428187f7b5e5b5978864"}}, "publications": [{"entity": "publication", "iuid": "fa6b8c17c4d24c7a9c4c2c6274e6f2a3", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/fa6b8c17c4d24c7a9c4c2c6274e6f2a3.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/fa6b8c17c4d24c7a9c4c2c6274e6f2a3"}}, "title": "SignalP 6.0 predicts all five types of signal peptides using protein language models.", "authors": [{"family": "Teufel", "given": "Felix", "initials": "F", "orcid": "0000-0003-1275-8065", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/5d5809964f694f7fb16e0745dbb645d5.json"}}, {"family": "Almagro Armenteros", "given": "Jos\u00e9 Juan", "initials": "JJ", "orcid": "0000-0003-0111-1362", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9c3e306ea13a428187f7b5e5b5978864.json"}}, {"family": "Johansen", "given": "Alexander Rosenberg", "initials": "AR"}, {"family": "G\u00edslason", "given": "Magn\u00fas Halld\u00f3r", "initials": "MH"}, {"family": "Pihl", "given": "Silas Irby", "initials": "SI"}, {"family": "Tsirigos", "given": "Konstantinos D", "initials": "KD", "orcid": "0000-0001-5280-1107", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/85e1896a52d04cb7b4475ebba4d17505.json"}}, {"family": "Winther", "given": "Ole", "initials": "O", "orcid": "0000-0002-1966-3205", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9dea7f2a81d249cd99f8dec60f422770.json"}}, {"family": "Brunak", "given": "S\u00f8ren", "initials": "S", "orcid": "0000-0003-0316-5866", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/560f89e3ea56424fb96ca55aad9b9814.json"}}, {"family": "von Heijne", "given": "Gunnar", "initials": "G", "orcid": "0000-0002-4490-8569", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/529a460e668a479ca7d9b9271375ef9f.json"}}, {"family": "Nielsen", "given": "Henrik", "initials": "H", "orcid": "0000-0002-9412-9643", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/95aab73521844700a8137cfc2cb287b0.json"}}], "type": "journal article", "published": "2022-07-00", "journal": {"title": "Nat. Biotechnol.", "issn": "1546-1696", "volume": "40", "issue": "7", "pages": "1023-1025", "issn-l": "1087-0156"}, "abstract": "Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms. SPs can be predicted from sequence data, but existing algorithms are unable to detect all known types of SPs. We introduce SignalP 6.0, a machine learning model that detects all five SP types and is applicable to metagenomic data.", "doi": "10.1038/s41587-021-01156-3", "pmid": "34980915", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC9287161"}, {"db": "pii", "key": "10.1038/s41587-021-01156-3"}], "notes": [], "created": "2026-08-21T11:51:28.684Z", "modified": "2026-08-21T11:51:28.905Z"}]}