SignalP 6.0 predicts all five types of signal peptides using protein language models
SignalP 6.0 predicts all five types of signal peptides using protein language models
Felix Teufel,J. J. Almagro Armenteros,7 Authors,H. Nielsen
TLDR
Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms and a new version of SignalP predicts all types of signal peptides.
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. A new version of SignalP predicts all types of signal peptides.