Henrik Nielsen,
Jacob Engelbrecht, Søren Brunak and Gunnar von Heijne*:
Identification of prokaryotic and eukaryotic
signal peptides and prediction of their cleavage sites.
Protein Engineering 10, 1-6 (1997).
Center for Biological Sequence Analysis
The Technical University of Denmark
DK-2800 Lyngby, Denmark
(*) Department of Biochemistry
Arrhenius Laboratory
Stockholm University
S-106 91 Stockholm, Sweden
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, though with lower precision. Predictions can be made on
a publicly available WWW server.
Last change: December 2, 1996,
Henrik Nielsen
