Chemical Informatics
Here is a list of publications that are related to our research in chemical informatics.
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Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification.
Nikil Wale, Ian Watson, and George Karypis.  Knowledge and Information Systems, 2007.
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Methods for Effective Virtual Screening and Scaffold-Hopping in Chemical Compounds.
Nikil Wale and George Karypis.  Computational Systems Biology (CSB), pp. 403-416, 2007.
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Acyclic Subgraph-based Descriptor Spaces for Chemical Compound Retrieval and Classification.
Nikil Wale and George Karypis.  IEEE International Conference on Data Mining (ICDM), 2006.
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Frequent Sub-structure Based Approaches for Classifying Chemical Compounds.
Mukund Deshpande, Michihiro Kuramochi, Nikil Wale, and George Karypis.  IEEE Trans. Knowl. Data Eng. 17(8): 1036-1050, 2005.
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An Efficient Algorithm for Discovering Frequent Subgraphs.
Michihiro Kuramochi and George Karypis.  IEEE Trans. Knowl. Data Eng. 16(9): 1038-1051, 2004.
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Frequent Sub-structure Based Approaches for Classifying Chemical Compounds.
Mukund Deshpande, Michihiro Kuramochi, and George Karypis.  3nd IEEE Conference on Data Mining (ICDM), pp. 35-42, 2003.
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Discovering Frequent Geometric Subgraphs.
Michihiro Kuramochi and George Karypis.  2nd IEEE Conference on Data Mining (ICDM), pp. 258 - 265, 2002.
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Automated Approaches for Classifying Structures.
Mukund Deshpande, Michihiro Kuramochi, and George Karypis.  SIGKDD Workshop on Bioinformatics, BIOKDD, 2002.
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Frequent Subgraph Discovery.
Michihiro Kuramochi and George Karypis.  1st IEEE Conference on Data Mining, pp. 313-320, 2001.
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