We show that visio-spatial representations and reasoning can be used as a similarity metric for case-based protein structure prediction. Our system retrieves pairs of α-helices based on contact map similarity, then transfers and adapts the structure information to an unknown helix pair. We show that similar protein contact maps predict a similar three-dimensional protein structure. The success of this method provides support for the notion that changing representations can enable similarity metrics in case-based reasoning.

Additional Metadata
Keywords Analogy, Bioinformatics, Case-based reasoning, Computational biology, Protein structure
Persistent URL dx.doi.org/10.1111/j.1467-8640.2006.00283.x
Journal Computational Intelligence
Citation
Davies, J, Glasgow, J. (Janice), & Kuo, T. (Tony). (2006). Visio-spatial case-based reasoning: A case study in prediction of protein structure. Computational Intelligence, 22(3-4), 194–207. doi:10.1111/j.1467-8640.2006.00283.x