Difference between revisions of "Module 2: How well does sequence similarity predict similarity in binding specificity?"
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Revision as of 15:30, 13 October 2015
- 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