Abstract
This paper describes an approach to automated identification of three-dimensional (3-D) motif in proteins. Here, the structure of a protein was reduced into abstract representation which consists of the α-helix and β-strand secondary structure elements, these being described by vectors in 3-D space rather than the point-like atoms that are used in the simple Ca approximation. The algorithms and the implementations are discussed with a couple of execution examples of the identification of the 3-D motif candidates using well known motifs.
