Abstract

Abstract 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/ Contact: arne@bioinfo.se Supplementary information: Supplementary data are available at Bioinformatics online.

Keywords

Benchmark (surveying)Computer scienceSource codeTopology (electrical circuits)Signal peptideSIGNAL (programming language)Transmembrane proteinCode (set theory)Web serverData miningMembrane topologyDownloadTheoretical computer scienceComputational biologyAlgorithmArtificial intelligenceBiologyThe InternetMathematicsPeptide sequenceGeneGeneticsWorld Wide Web

MeSH Terms

AlgorithmsEscherichia coliGenomeBacterialGenomeFungalMembrane ProteinsNeural NetworksComputerProtein Sorting SignalsSaccharomyces cerevisiaeSequence AnalysisProteinSoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2008
Type
article
Volume
24
Issue
24
Pages
2928-2929
Citations
238
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

238
OpenAlex
205
CrossRef

Cite This

Håkan Viklund, Andreas Bernsel, Marcin J. Skwark et al. (2008). SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology. Bioinformatics , 24 (24) , 2928-2929. https://doi.org/10.1093/bioinformatics/btn550

Identifiers

DOI
10.1093/bioinformatics/btn550
PMID
18945683

Data Quality

Data completeness: 86%