Module 2: How well does sequence similarity predict similarity in binding specificity?

Revision as of 15:30, 13 October 2015 by Sven (talk | contribs)
  • Title: "How well does sequence similarity predict similarity in binding specificity?"
  • Paper to be examined: “A Specificity Map for the PDZ Domain Family”, PLoS Biol 6(9): e239 [1]
  • Key claim of the paper: "Similarity in sequence of binding motifs of PDZ domains can be used to identify 16 distinct specificity classes."
  • Data and Code
  • Schedule:
    • H1: General intro to the paper/motivation
    • H2-3: Write code to import the data and start computing similarity
    • H4-6: Write code to compute and compare different types of similarity values and do the clustering.
    • H7: Use a visualization software to look at the data.
    • H8: Start writing the report
    • H9: Broader view on the use and challenges with similarity metrics between biological objects
  • Key bioinformatics concept of this module:
    • Similarity measures between biological objects (here protein sequence and binding specificity)
    • Clustering