SignalP 5.0 improves signal peptide predictions using deep neural networks.
Nat Biotechnol
; 37(4): 420-423, 2019 04.
Article
em En
| MEDLINE
| ID: mdl-30778233
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sinais Direcionadores de Proteínas
/
Redes Neurais de Computação
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article