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Updated: Jul 30, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements
1Department of Knowledge-based Information Engineering, Toyohashi University of Technology, Japan. ¿hiro,taka¿@mis.tutkie.tut.ac.jp
Abstract:
This paper discusses the implementation of a three-dimensional (3D) structure motif search of proteins. Each protein structure is represented by a set of secondary structure elements (SSEs) which involves alpha-helix segments and beta-strand segments. In describing it, every SSE is further reduced into a two-node graph that consists of the starting amino acid residue, the ending residue and a pseudo-bond between them. The searching algorithm is based on a graph theoretical clique-finding algorithm that has been used for 3D substructure searching in small organic molecules. The program SS3D-P2 was validated using proteins that have well-known 3D motifs, and it correctly found the Greek key motif within an eye lens protein, crystallin, that consists of four anti-parallel beta strands. The program was also successfully applied to searching for the more complex 3D motif, TIM-type beta-barrel motif, with a protein structure database from the Protein Data Bank.
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