Premium
VISIO‐SPATIAL CASE‐BASED REASONING: A CASE STUDY IN PREDICTION OF PROTEIN STRUCTURE
Author(s) -
Davies Jim,
Glasgow Janice,
Kuo Tony
Publication year - 2006
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2006.00283.x
Subject(s) - similarity (geometry) , artificial intelligence , computer science , metric (unit) , case based reasoning , pattern recognition (psychology) , data mining , image (mathematics) , operations management , economics
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.