SignalP 6.0 predicts all five types of signal peptides using protein language models

被引：1486

作者：

Teufel, Felix ^{[1
,2
]}

Almagro Armenteros, Jose Juan ^{[3
]}

Johansen, Alexander Rosenberg ^{[4
]}

Gislason, Magnus Halldor ^{[5
]}

Pihl, Silas Irby ^{[1
]}

Tsirigos, Konstantinos D. ^{[6
]}

Winther, Ole ^{[7
,8
]}

Brunak, Soren ^{[3
]}

von Heijne, Gunnar ^{[9
,10
]}

Nielsen, Henrik ^{[1
]}

机构：

[1] Tech Univ Denmark, Sect Bioinformat, Dept Hlth Technol, Lyngby, Denmark

[2] Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, Basel, Switzerland

[3] Univ Copenhagen, Fac Hlth & Med Sci, Novo Nordisk Fdn Ctr Prot Res, Copenhagen, Denmark

[4] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA

[5] Rigshosp Copenhagen Univ Hosp, Ctr Genom Med, Copenhagen, Denmark

[6] EMBL EBI, Wellcome Genome Campus, Cambridge, England

[7] Univ Copenhagen, Dept Biol, Bioinformat Ctr, Copenhagen, Denmark

[8] Tech Univ Denmark, Sect Cognit Syst, Dept Appl Math & Comp Sci, Lyngby, Denmark

[9] Stockholm Univ, Dept Biochem & Biophys, Stockholm, Sweden

[10] Stockholm Univ, Sci Life Lab, Solna, Sweden

来源：

NATURE BIOTECHNOLOGY | 2022年 / 40卷 / 07期

基金：

瑞典研究理事会;

关键词：

SEQUENCE;

D O I：

10.1038/s41587-021-01156-3

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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. A new version of SignalP predicts all types of signal peptides.

引用

页码：1023 / +

页数：6

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