Name
Abstract | ||
|---|---|---|
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 alpha-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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1111/j.1467-8640.2006.00283.x | COMPUTATIONAL INTELLIGENCE |
Keywords | Field | DocType |
case-based reasoning, protein structure, analogy, bioinformatics, computational biology | Protein structure prediction,Computer science,Artificial intelligence,Analogy,Case-based reasoning,Reasoning system,Machine learning,Protein structure | Journal |
Volume | Issue | ISSN |
22 | 3-4 | 0824-7935 |
Citations | PageRank | References |
4 | 0.44 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jim Davies | 1 | 54 | 7.33 |
| Janice I. Glasgow | 2 | 392 | 127.97 |
| Tony Kuo | 3 | 20 | 1.87 |