Intro Content
Nature Biotechnology
SignalP 5.0 improves signal peptide predictions using deep neural networks
Signal peptides (SPs) are intrinsic signals for secretion in both eukaryotic and prokaryotic proteins. Since their existence was demonstrated in 1975 by Günter Blobel (who later received the Nobel Prize for it) and Bernhard Dobberstein, there has been a keen interest in the question of how SPs actually look and whether they can be predicted from the amino acid sequence. One of the methods for making such predictions, SignalP, which has been online since 1996, is now released in its fifth major version.
