Related Experiment Video
Updated: Oct 8, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
SignalP 6.0 predicts all five types of signal peptides using protein language models
Felix Teufel1,2, José Juan Almagro Armenteros3, Alexander Rosenberg Johansen4
1Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
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.
Related Concept Videos
Signal Sequences and Sorting Receptors
Nuclear Localization Signals and Import
Protein Families
Insertion of Single-pass Transmembrane Proteins in the RER
Integral transmembrane proteins possess transmembrane and extra membrane domains. The transmembrane domains are primarily made of 20-25 hydrophobic amino acids arranged in a helical secondary confirmation. These...
Assembly of Signaling Complexes
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Directing Proteins to the Rough Endoplasmic Reticulum

