This week, we profile Phobius an online — TM or signal peptide predictor developed by Dr. Lukas Käll at the Royal Institute of Technology – KTH, Dr. Anders Krogh at the University of Copenhagen and Dr. Erik Sonnhammer from Stockholm University. Dr. Käll kindly answered our questions.
- In one tweet or less, introduce us to your tool/database/website.
Phobius provides a combined transmembrane protein topology and signal peptide prediction from a proteins amino acid sequence. The combination makes sense as traditional predictor often confuse the two types of prediction as both types of proteins can contains a long n-terminal hydrophobic stretch.
- Why is your tool or special?
The tool represent the first combined predictor.
- Who is your target audience?
Sequence annotators, or any person interested in predicting signal peptides or transmembrane proteins.
- Why did you create your tool??
Seeing the problem of cross predictions between signal peptide and n-terminal membrane helices I just wanted to have a type of prediction to trust.
- What is your greatest success story so far?
The tool is very well cited. There are several great success stories of the tool.
- What improvements are coming in the future?
- Who is the team behind your tool?
Lukas Käll, Royal Institute of Technology – KTH Anders Krogh, University of Copenhagen Erik Sonnhammer, Stockholm University