SignalP 6.0 predicts all five types of signal peptides using protein language models
Research output: Contribution to journal › Comment/debate › Research
Final published version, 2.53 MB, PDF document
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.
|Publication status||Published - 2022|
© 2022, The Author(s).
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available