TOPCONS-single Wednesday, November 20 2024
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Pre-run predictions for whole genomes
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Prediction of membrane protein topology without BLAST runs
TOPCONS-single allows for requests of up to 100000 protein sequences, and is appropriate for large benchmark sets and full proteome scans. If you have only one or a few sequences, use the TOPCONS server for better predictive performance.
Enter up to 100000 protein sequences in FASTA format


Alternatively, upload a text file containing up to 100000 protein sequences in FASTA format


Methods options
      
 
References
TOPCONS-single:
Rapid membrane protein topology prediction. Aron Hennerdal and Arne Elofsson (2011) Bioinformatics 27(9), 1322-3. [Pubmed]
TOPCONS:
TOPCONS: consensus prediction of membrane protein topology. Andreas Bernsel, Håkan Viklund, Aron Hennerdal and Arne Elofsson (2009) Nucleic Acids Research, Web Server Issue 37, W465-W468. [Pubmed]
SCAMPI:
Prediction of membrane-protein topology from first principles. Andreas Bernsel, Håkan Viklund, Jenny Falk, Erik Lindahl, Gunnar von Heijne and Arne Elofsson (2008) Proc. Natl. Acad. Sci. USA. 105, 7177-7181. [Pubmed]
S-TMHMM:
Best α-helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information. Håkan Viklund and Arne Elofsson (2004) Protein Science, USA. 13, 1908-1917. [Pubmed]
HMMTOP:
The HMMTOP transmembrane topology prediction server. G E Tusnády and I Simon (2001) Bioinformatics 17(9), 849-850. [Pubmed]
MEMSAT:
A model recognition approach to the prediction of all-helical membrane protein structure and topology. D T Jones, W R Taylor and J M Thornton Biochemistry 33 (10) 3038-3049. [Pubmed]
PHOBIUS:
A combined transmembrane topology and signal peptide prediction method. Lukas Käll, Anders Krogh, Erik L L Sonnhammer (2004) J. Mol. Biol. 338 (5), 1027-1036. [Pubmed]
TOPPRED:
Membrane protein structure prediction. Hydrophobicity analysis and the positive-inside rule. Gunnar von Heijne (1992) J. Mol. Biol. USA. 225(2), 487-494. [Pubmed]
TopPred II: an improved software for membrane protein structure predictions. Manuel G.CIaros, Gunnar von Heijne (1994) CABIOS, UK 10(6), 685-686. [Pubmed]
 
© 2010 Stockholm University, Stockholm Bioinformatics Centre, Center for Biomembrane Research