SignalP 6.0 predicts all five types of signal peptides using protein language models.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 34980915.
- Also identified by DOI 10.1038/s41587-021-01156-3 and PMC identifier 9287161.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Language
- Protein Sorting Signals