Phobius -- A combined transmembrane topology and signal peptide predictor

What you can do:
Predict combined transmembrane topology and signal peptides.
  • When using conventional transmembrane topology and signal peptide predictors, such as TMHMM and SignalP, there is a substantial overlap between these two types of predictions.
  • Applying these methods to five complete proteomes, we found that 30-65% of all predicted signal peptides and 25-35% of all predicted transmembrane topologies overlap.
  • This impairs predictions of 5-10% of the proteome, hence this is an important issue in protein annotation.
  • To address this problem, we previously designed a hidden Markov model, Phobius, that combines transmembrane topology and signal peptide predictions.
  • The method makes an optimal choice between transmembrane segments and signal peptides, and also allows constrained and homology-enriched predictions.
  • See also
  • Membrane Proteins
  • Protein Conformation
  • Protein Sorting Signals
  • Protein Structure
  • Proteomics
  • transmembrane
  • transmembrane topology
  • signal peptide prediction
  • signal peptide
This record last updated: 06-03-2008
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