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Mining Spatial Motifs from Protein Structure Graphs Jun Huan1 , Wei Wang1 , Deepak Bandyopadhyay1 , Jack Snoeyink1 , Jan Prins1 , Alex Tropsha2 1 Department of Computer Science, University of North Carolina, Chapel Hill
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Document Date: 2003-12-06 16:28:00


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Washington / /

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University of North Carolina / Chapel Hill / The Laboratory / Building Protein Graphs Because / Building Graphical Representations / /

IndustryTerm

roundness algorithms / chemical features / chemical componuds / substructure pattern mining / coherrent subgraph mining / subgraph mining algorithm / coherent subgraph mining / incremental subgraph mining algorithm / frequent subgraph mining / above mining procedure / Analytical shape computing / chemical compounds / mining / maximal common subgraph isomorphism algorithm / data mining community / frequent subgraph mining algorithm / subgraph mining / Approximation algorithms / /

MarketIndex

set 500 / /

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Chapel Hill / /

OperatingSystem

Linux / /

Organization

School of Pharmacy / Division of Medicinal Chemistry and Natural Products / Department of Computer Science / MIT / DT AD / Eukaryotic Protease Family / University of North Carolina / Chapel Hill / Laboratory for Molecular Modeling / /

Person

Georges Voronoi / John Wiley / /

Product

minSuppport / /

ProgrammingLanguage

C++ / /

ProvinceOrState

North Carolina / /

PublishedMedium

Journal of Molecular Biology / Molecular Biology / /

Technology

alpha / Protein Engineering / frequent subgraph mining algorithm / bioinformatics / roundness algorithms / Molecular Modeling / subgraph isomorphism algorithm / 3-d / proposed algorithm / apriori-based algorithm / Linux / Approximation algorithms / data mining / Quickhull algorithm / drug design / incremental subgraph mining algorithm / 3 Algorithm / subgraph mining algorithm / 2.2 Algorithm / html / CAD / /

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