SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology

Bioinformatics. 2008 Dec 15;24(24):2928-9. doi: 10.1093/bioinformatics/btn550. Epub 2008 Oct 22.


Summary: SPOCTOPUS is a method for combined prediction of signal peptides and membrane protein topology, suitable for genome-scale studies. Its objective is to minimize false predictions of transmembrane regions as signal peptides and vice versa. We provide a description of the SPOCTOPUS algorithm together with a performance evaluation where SPOCTOPUS compares favorably with state-of-the-art methods for signal peptide and topology predictions.

Availability: SPOCTOPUS is available as a web server and both the source code and benchmark data are available for download at http://octopus.cbr.su.se/

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Escherichia coli / genetics
  • Genome, Bacterial
  • Genome, Fungal
  • Membrane Proteins / chemistry*
  • Neural Networks, Computer
  • Protein Sorting Signals*
  • Saccharomyces cerevisiae / genetics
  • Sequence Analysis, Protein / methods
  • Software


  • Membrane Proteins
  • Protein Sorting Signals