SignalP 5.0 improves signal peptide predictions using deep neural networks

Nature Biotechnology

Volumn 37, Issue 4, 2019, Pages 420-423

  Almagro Armenteros, José Juan ^a   Tsirigos, Konstantinos D ^a,b,c   Sønderby, Casper Kaae ^d   Petersen, Thomas Nordahl ^a   Winther, Ole ^a,d   Brunak, Søren ^a,e   von Heijne, Gunnar ^b   Nielsen, Henrik ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b STOCKHOLM UNIVERSITY   (Sweden)

^c MAX PLANCK INSTITUTE FOR MOLECULAR GENETICS   (Germany)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

^e University of Copenhagen   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; BIOSYNTHESIS; FORECASTING; PEPTIDES;

AMINO ACID SEQUENCE; AMINO TERMINUS; BIOINFORMATIC TOOLS; NETWORK-BASED APPROACH; SIGNAL PEPTIDE; TARGET PROTEINS;

DEEP NEURAL NETWORKS;

PROTEOME; SIGNAL PEPTIDE; ARCHAEAL PROTEIN; BACTERIAL PROTEIN;

AMINO ACID SEQUENCE; AMINO TERMINAL SEQUENCE; ARCHAEON; ARTICLE; BACTERIAL STRAIN; DEEP LEARNING; DEEP NEURAL NETWORK; ESCHERICHIA COLI; EUKARYOTE; FUNGAL STRAIN; GRAM NEGATIVE BACTERIUM; GRAM POSITIVE BACTERIUM; NONHUMAN; PEPTIDE ANALYSIS; PRIORITY JOURNAL; PROKARYOTE; PROTEIN SYNTHESIS; PROTEIN TARGETING; PROTEOMICS; SACCHAROMYCES CEREVISIAE; TRANSFER OF LEARNING; ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOLOGY; BIOTECHNOLOGY; CLASSIFICATION; GENETICS; METABOLISM; PHYSIOLOGY; SEQUENCE ANALYSIS; SOFTWARE;

ALGORITHMS; AMINO ACID SEQUENCE; ARCHAEAL PROTEINS; BACTERIAL PROTEINS; BIOTECHNOLOGY; COMPUTATIONAL BIOLOGY; EUKARYOTA; NEURAL NETWORKS (COMPUTER); PROTEIN SORTING SIGNALS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 85061704586     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/s41587-019-0036-z     Document Type: Article

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