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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… Click to show full 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.
Keywords:
predicts five;
signalp predicts;
five types;
peptides using;
signal peptides;
types signal
Journal Title: Nature Biotechnology
Year Published: 2022
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Journal Title: Nature Biotechnology
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!