Reference - PMID:34980915 - SignalP 6.0 predicts all five types of signal peptides using protein language models.
Reference summary
- PubMed ID
- PMID:34980915
- Title
- SignalP 6.0 predicts all five types of signal peptides using protein language models.
- Authors
- Teufel F, Almagro Armenteros JJ, Johansen AR, Gíslason MH, Pihl SI, Tsirigos KD, Winther O, Brunak S, von Heijne G, Nielsen H
- Citation
- Nat Biotechnol 2022 Jul;40(7):1023-1025
- Publication year
- 2022
- 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.
