Title :
Retrieval of 3D protein structures
Author :
Chen, Shann-Ching ; Chen, Tsuhan
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
A protein molecule is made of a long chain of amino acid sequences that fold into a complex three-dimensional structure. It is often the geometrical shapes that determine the protein functions. In molecular biology, researchers use sequence alignment and structure matching to compare the similarity among proteins. Considering proteins as 3D structures, we propose a novel algorithm to identify geometry-based features to retrieve similar proteins without having to deal with complex chemical characteristics and biological properties. A Web-based Dali server, which performs well in three-dimensional structure matching, is used as the ground truth to evaluate our algorithm. Our system performs close to the ground truth with much simplicity and efficiency.
Keywords :
biology computing; feature extraction; information retrieval; macromolecules; molecular biophysics; pattern matching; proteins; 3D protein structure retrieval; Dali server; Protein Data Bank; Research Collaboratory for Structural Bioinformatics; amino acid sequences; feature extraction; feature identification; geometry-based features; molecular biology; protein molecule; sequence alignment; structure matching; Amino acids; Atomic layer deposition; Biological information theory; Biology computing; Chemicals; Collaboration; Performance evaluation; Protein engineering; Sequences; Shape;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1039126