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Sunghoon Lee

Researcher at Korea Research Institute of Bioscience and Biotechnology

Publications -  5
Citations -  656

Sunghoon Lee is an academic researcher from Korea Research Institute of Bioscience and Biotechnology. The author has contributed to research in topics: Voronoi diagram & Protein domain. The author has an hindex of 4, co-authored 5 publications receiving 611 citations.

Papers
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Journal ArticleDOI

Mapping human genetic diversity in Asia

Mahmood Ameen Abdulla, +94 more
- 11 Dec 2009 - 
TL;DR: The results suggest that there may have been a single major migration of people into Asia and a subsequent south-to-north migration across the continent, and that genetic ancestry is strongly correlated with linguistic affiliations as well as geography.
Journal ArticleDOI

Euclidean Voronoi diagrams of 3D spheres and applications to protein structure analysis

TL;DR: Once a Voronoi diagram for 3D atoms of a protein is computed, it is shown that the diagram can be used to efficiently and precisely analyze the spatial structure of the protein.
Journal ArticleDOI

Localizome: a server for identifying transmembrane topologies and TM helices of eukaryotic proteins utilizing domain information

TL;DR: The Localizome server predicts the transmembrane helix number and TM topology of a user-supplied eukaryotic protein and presents the result as an intuitive graphic representation that is a highly accurate and comprehensive information source for subcellular localization for soluble proteins as well as membrane proteins.
Journal ArticleDOI

Interaction interfaces in proteins via the Voronoi diagram of atoms

TL;DR: This paper defines an interaction interface using the Voronoi diagram of atoms in proteins using a number of chains, and provides a set of measures to characterize the inter- and intra-protein interactions.
Patent

Method for sequence analysis, on base of core recombination blocks, for molecular plant breeding

TL;DR: In this paper, a method for sequence analysis for molecular plant breeding is described, based on core recombination blocks, characterized by comparative analysis of patterns of single nucleotide variation (SNV) density.