Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

Clicks: 22
ID: 289458
1997
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Abstract
We have developed a new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. 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, though with lower precision. Predictions can be made on a publicly available WWW server.
Reference Key
openalex_W2171091522 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne
Journal Protein Engineering Design and Selection
Year 1997
DOI
10.1093/protein/10.1.1
URL
https://academic.oup.com/peds/article-pdf/10/1/1/18541666/100001.pdf
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