Recognition of docking sites on a protein using β-shape based on Voronoi diagram of atoms

  • Authors:
  • Deok-Soo Kim;Cheol-Hyung Cho;Donguk Kim;Youngsong Cho

  • Affiliations:
  • Department of Industrial Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, South Korea and Voronoi Diagram Research Center, Hanyang University, 17 Haengdang-dong, Se ...;Voronoi Diagram Research Center, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, South Korea;Voronoi Diagram Research Center, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, South Korea;Voronoi Diagram Research Center, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, South Korea

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2006

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Abstract

A protein consists of atoms. Given a protein, the automatic recognition of depressed regions on the surface of the protein, often called docking sites or pockets, is important for the analysis of interaction between a protein and a ligand and facilitates fast development of new drugs. Presented in this paper is a geometric approach for the detection of docking sites using @b-shape which is based on the Voronoi diagram for atoms in Euclidean distance metric. We first propose a geometric construct called a @b-shape which represents the proximity among atoms on the surface of a protein. Then, using the @b-shape, which takes the size differences among different atoms into account, we present an algorithm to extract the pockets for the possible docking site on the surface of a protein.