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Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of Their Cleavage Sites (1997)
| Citations: | 786 - 17 self |
BibTeX
@MISC{Nielsen97identificationof,
author = {Henrik Nielsen and Jacob Engelbrecht and Søren Brunak and Gunnar von Heijne},
title = {Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of Their Cleavage Sites},
year = {1997}
}
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Abstract
We have developed a new method for identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequences. The method performs significantly better than previous prediction schemes, and can easily be applied on genome-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, thoughwith lower precision. Predictions can be made on a publicly available WWW server. Present address: Novo Nordisk A/S, Scientific Computing, Building 9M1, Novo Alle, DK-2880 Bagsværd, Denmark Introduction Signal peptides control the entry of virtually all proteins to the secretory pathway, both in eukaryotes and prokaryotes (von Heijne, 1990; Gierasch, 1989; Rapoport, 1992). They comprise the N--terminal part of the amino acid chain, and are cleaved off while the protein is translocated through the membrane. The common structure of signal peptides from variou...
Keyphrases
cleavage site signal peptide eukaryotic signal peptide secretory pathway new method terminal part dk-2880 bagsv rd eukaryotic sequence neural network available www server previous prediction scheme scientific computing separate set amino acid chain present address denmark introduction signal peptide common structure genome-wide data set von heijne uncleaved n-terminal signal-anchor sequence novo alle novo nordisk
