| Document Date: 2012-08-16 12:29:06
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Company OpenEye / Intel / / Facility George Karypis University of Minnesota / / IndustryTerm pharmacophore identification algorithms / above algorithms / possible low-energy conformations / proposed frequent clique mining algorithms / sampling10 algorithms / genetic algorithm / graph mining algorithms / graphs representing low-energy conformations / low-energy conformations / clique-mining methods / frequent graph mining / frequent subgraph mining / pharmacophore identification using frequent clique mining / depth-first search / conformer miner / pruned exhaustive search method / proposed frequent clique mining approach / chemical structures / chemical bonds / / OperatingSystem Linux / / Organization Department of Computer Science and Computer Engineering Minneapolis / University of Minnesota / / Position unified conformer miner / multiple conformer miner / representative / / Product Omega19 software / generated using OpenEye’s Omega19 software / Omega19 / / ProvinceOrState Minnesota / / Technology graph mining algorithms / above algorithms / loop UCM algorithm / Gibbs sampling10 algorithms / Xeon processor / proposed frequent clique mining algorithms / Linux / high-throughput screening / existing algorithms / genetic algorithm / two proposed algorithms / drug design / 3 algorithm / second algorithm / pharmacophore identification algorithms / UCM algorithm / two algorithms / /
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Common Pharmacophore Identification Using Frequent Clique Detection Algorithm Yevgeniy Podolyan and George Karypis University of Minnesota, Department of Computer Science and Computer Engineering Minneapolis, MN[removed]Oc