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Jurisica, I. & Glasgow, J. (2004). Applications of case-based reasoning in molecular biology. AI Magazine, 25(1), 85--95.

  author = "Jurisica, Igor  and 
            Glasgow, Janice",
  title =   "Applications of Case-Based Reasoning in Molecular
  journal = "AI Magazine",
  volume  = "25"
  number  = "1"
  year =    "2004"

Author of the summary: Jim Davies, 2005, jim@jimdavies.org

Cite this paper for:

CBR for planning protein crystallization experiments

There are robots that can run the crystallization experiments. The CBR system has an image-analysis subsystem for evaluating the results of these experiments. It builds on the system TA3.


Cases are stored as collections of attribute-value pairs. [86] Steps of image processing (Jurisica et al. 2001): 1) drop recognition, 2) drop analysis, 3) image-feature extraction, and 4) image classification. The representation used for classification ius a 23 feature vector of the most important visual features. [90]

Sequence Analysis [91]

Finding genes in DNA sequences.

Protein structure determination[93]

Glasgow, Conklin, Fortier 1993: structure of proteins from crystallographic data (electron density maps). The image is segmented and motifs are compared with known structures. [93]

Summary author's notes:

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