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GrAfSS: Graph Theoretic Applications for Structure Searching

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Description: Graph theoretic methods for the analysis of structural relationships in biological macromolecules.
GrAfSS: Graph theoretic Applications for Structure Searching Server Graph theoretic methods for the analysis of structural relationships in biological macromolecules Subgraph isomorphism and maximum common subgraph isomorphism algorithms from graph theory provide an effective and efficient way of identifying structural relationships between biological macromolecules. They thus provide a natural complement to the pattern matching algorithms that are used in bioinformatics to identify sequence relationships. Methods available here are applicable to different types of biological macromolecules from carbohydrates to protein and nucleic acid structures.
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Page title:GrAfSS: Graph theoretic Applications for Structure Searching Server
Keywords:ligand, drug, binding, site, prediction, server, universiti kebangsaan malaysia, bioinformatics, firdaus raih, peter artymiuk, grafss, graph theory, protein motif
Description:GrAfSS: Graph theoretic Applications for Structure Searching Server.
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Creation Date: 2008-06-23T17:19:52Z
Expiry Date: 2015-06-23T17:19:52Z