Task 3 - Sequence-based predictions 2011

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.

Introductory talks

The talk introduced the prediction of:

• secondary structure
• disorder
• transmembrane helices and signal peptides
• GO terms

Tasks and questions

For each prediction, carry out these assignments and answer these questions:

• Collect basic information about the methods: author, year, reference
• Give a brief description of the theory and the algorithm, if possible
• What is predicted?
• 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, list a few
• You may try out more methods

1. Secondary structure prediction

PSIPRED

• /apps/psipred_2.5 and psipred_3.2
• Script: runpsipred -> adapt paths
• Readme: http://bioinfadmin.cs.ucl.ac.uk/downloads/psipred/
• Server: http://bioinf.cs.ucl.ac.uk/psipred/

Jpred3

• Server: http://www.compbio.dundee.ac.uk/www-jpred/index.html

Comparison with DSSP

• /apps/dssp
• Server: http://swift.cmbi.ru.nl/servers/html/
• http://swift.cmbi.ru.nl/gv/dssp

2. Prediction of disordered regions

DISOPRED

• /apps/disopred_2.4.2.
• Script: rundisopred -> adapt paths
• Server: http://bioinf.cs.ucl.ac.uk/disopred/

POODLE

• Server: http://mbs.cbrc.jp/poodle/poodle.html
• for example, POODLE-I (POODLE series only)

META-Disorder

• man metadisorder
• to be continued...

3. Prediction of transmembrane alpha-helices

Predict transmembrane helices additionally for the following proteins:

• BACR_HALSA, RET4_HUMAN, INSL5_HUMAN, LAMP1_HUMAN and A4_HUMAN
• You can look for other alpha-helical transmembrane proteins to apply the prediction methods

TMHMM

• /apps/tmhmm-2.0c/

Phobius

TMtop

4. Prediction of signal peptides

SignalP

TargetP

5. Prediction of GO terms

TMHMM 2.0