Supplementary material for Secondary structure prediction and threading

This pages contain old supplementary material (June 2009) for the "Secondary structure prediction and threading" lesson in Master in Molecular Medicine; Module IV: Functional Genomics; coordinator Hanspeter Herzel.

Software required

Rasmol: protein structure viewer (Roger Sayle)

ClustalX: multiple sequence alignment tool (Des Higgins / Julie Thompson)

Java scripts should be allowed in your browser.
  • Firefox
    • Go to Tools/Options/Content
      • enable Java
      • enable JavaScript
  • Explorer
    • Go to Internet options/Security/Custom level/Scripting/Scripting of Java applets (enable)

Verify that you can run BiasViz http://cbdm.mdc-berlin.de/tools/biasviz/

Exercises

1A. Domain analysis of a protein sequence

  • Get a protein sequence with a kinase domain using SMART http://smart.embl.de/
    • Does it have other domains?
  • Run the sequence in PFAM http://pfam.sanger.ac.uk/ and compare the outputs. 
    • Are PFAM domain annotations different from SMART?
    • Are there any 3D representatives of the domains in your protein?

1B. Structure analysis of a protein sequence

1C. Model of a protein structure

  • Find a protein in swissprot (http://www.expasy.org/) with one of these domains: PH, SH2, SH3. Find out its swissprot identifier.
  • Search for a model of this protein in MODBase (http://modbase.compbio.ucsf.edu/). If there is no model then go back to previous step and find another protein. Store the model coordinates (save as a.pdb file).
  • From MODbase, obtain the coordinates of the template PDB. Save coordinates as b.pdb file.
  • Open both files in rasmol and compare the structures. 
    • Where are the main differences?

2A. Transmembrane helix prediction

2B. Multiple sequence alignment

  • Retrieve at least 8 full length homologues of the transmembrane protein used in the previous exercise using BLAST (http://blast.ncbi.nlm.nih.gov/Blast.cgi) (pick them up from different organisms)
  • Retrieve their sequences and align them with ClustalX. Save alignment with FASTA format.
  • Input alignment to BiasViz (http://cbdm.mdc-berlin.de/tools/biasviz/) and find amino acid biased regions.  
    • Can you see the TMs as biased regions?
    • Of which type?
    • Are there any other biased regions?