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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
title = "Applications of Case-Based Reasoning in Molecular
journal = "AI Magazine",
volume = "25"
number = "1"
year = "2004"
Author of the summary: Jim Davies, 2005, email@example.com
Cite this paper for:
- SYSTEM: TA3
- CBR for planning crystallization experiments
- CBR for predicting 3D structure of proteins
- CBR for finding genes
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.  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. 
Sequence Analysis 
Finding genes in DNA sequences.
Protein structure determination
Glasgow, Conklin, Fortier 1993: structure of proteins from
crystallographic data (electron density maps). The image is segmented
and motifs are compared with known structures. 
Summary author's notes:
- This summary is a little sparse because I read it when I needed
to know about visual representations in CBR/bioinformatics only. It
can be better fleshed out later.
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Last modified: Tue May 13 10:28:57 EDT 2003