Phobius -- A combined transmembrane topology and signal peptide predictor
What you can do:
Predict combined transmembrane topology and signal peptides.
Highlights:
- 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 http://phobius.cgb.ki.se.
Keywords:
- Membrane Proteins
- Protein Conformation
- Protein Sorting Signals
- Protein Structure
- Proteomics
- transmembrane
- transmembrane topology
- signal peptide prediction
- signal peptide
Literature & Tutorials:
This record last updated: 06-03-2008