Content area
Abstract
Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.
SignalP 5.0 improves proteome-wide detection of signal peptides across all organisms and can distinguish between different types of signal peptides in prokaryotes.
Details
Title
SignalP 5.0 improves signal peptide predictions using deep neural networks
Author
Almagro Armenteros José Juan 1 ; Tsirigos, Konstantinos D 2 ; Sønderby Casper Kaae 3 ; Petersen, Thomas Nordahl 4 ; Winther Ole 5 ; Brunak Søren 6 ; von Heijne Gunnar 7 ; Nielsen, Henrik 1
1 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
2 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870); Stockholm University, Department of Biochemistry and Biophysics, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Stockholm University, Science for Life Laboratory, Solna, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Max Planck Institute for Molecular Genetics, Department of Genome Regulation, Berlin, Germany (GRID:grid.419538.2) (ISNI:0000 0000 9071 0620)
3 University of Copenhagen, Bioinformatics Centre, Department of Biology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X)
4 Technical University of Denmark, National Food Institute, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
5 University of Copenhagen, Bioinformatics Centre, Department of Biology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); Technical University of Denmark, Department of Applied Mathematics and Computer Science, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
6 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870); University of Copenhagen, Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X)
7 Stockholm University, Department of Biochemistry and Biophysics, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Stockholm University, Science for Life Laboratory, Solna, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377)
1 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
2 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870); Stockholm University, Department of Biochemistry and Biophysics, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Stockholm University, Science for Life Laboratory, Solna, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Max Planck Institute for Molecular Genetics, Department of Genome Regulation, Berlin, Germany (GRID:grid.419538.2) (ISNI:0000 0000 9071 0620)
3 University of Copenhagen, Bioinformatics Centre, Department of Biology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X)
4 Technical University of Denmark, National Food Institute, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
5 University of Copenhagen, Bioinformatics Centre, Department of Biology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); Technical University of Denmark, Department of Applied Mathematics and Computer Science, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
6 Technical University of Denmark, Department of Bio and Health Informatics, Kgs Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870); University of Copenhagen, Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X)
7 Stockholm University, Department of Biochemistry and Biophysics, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Stockholm University, Science for Life Laboratory, Solna, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377)
Pages
420-423
Publication year
2019
Publication date
Apr 2019
ISSN
10870156
e-ISSN
15461696
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2202209234
Copyright
2019© The Author(s), under exclusive licence to Springer Nature America, Inc. 2019