Task 3 - Sequence-based predictions

In contrast to the vast amount of known protein sequences, information about structure and function is available for only very few proteins. Sequence-based predictions of protein features aim to decrease this gap. Many sequence-based preditiction methods use evolutionary information, i.e. sequence similiarity. Sequence alignments are therefore often a prerequisite for the predictions.

Theoretical background talks

The introductory talks will give an introduction to sequence-based protein predictions. In particular:

• secondary structure
• disorder
• transmembrane helices
• GO terms

Where to run the jobs

• You can log in to the student computer pool: i12k-biolab??.informatik.tu-muenchen.de, where ?? goes from 01 to 10.
• Work in the student computer pool.
• You can also install the programs on your own computer.

Secondary structure

Use ReProf to predict secondary structure for your protein. Apply ReProf also to these proteins:

• P10775
• Q9X0E6
• Q08209

Use fasta sequences for the prediction. You can find out about Reprof usage by running reprof or reading the man page (man reprof). Peter Hoenigschmig (hoenigschmid@rostlab.org) would like to hear about anything that would improve the description or if anything seems unclear. For help, you can always ask us first.

Compare the ReProf results to PsiPred and [ http://mrs.cmbi.ru.nl/hsspsoap/ DSSP_server] (DSSP). Before you use DSSP, find out more about the example proteins (and yours) using UniProt and the PDB.

   Give a brief description of the theory and the algorithm, if possible
   What is predicted? Describe the features in some detail
   What information is required for the predictions?
   Apply the prediction methods to your protein and explain how to do this
   You may try out other protein sequences (this is required when specified)
   Present, describe and discuss the results
   Look for other methods, for example here: http://expasy.org/tools/
   You may try out more methods