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Updated: Jun 28, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology
Håkan Viklund1, Andreas Bernsel, Marcin Skwark
1Department of Biochemistry and Biophysics, Center for Biomembrane Research, Stockholm Bioinformatics Center, The Arrhenius Laboratories for Natural Sciences, Stockholm University, SE-10691 Stockholm, Sweden.
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/
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