SignalP 5.0 improves signal peptide predictions using deep neural networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30778233.
- Also identified by DOI 10.1038/s41587-019-0036-z.
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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.
Medical subject headings
- Neural Networks, Computer
- Protein Sorting Signals