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Parallel data mining for pharmacophore discovery

Publication ,  Conference
Graham, J; Page, CD; Wild, A
Published in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
January 1, 2000

Rapid and effective design of new drugs to combat new strains of antibiotic resistant organisms, more effectively treat chronic conditions, and provide other life sustaining treatment is a key challenge for the medical industry. Current drug design methodologies can take several years just in the initial chemical evaluation stages before compounds can be created for animal and human testing. This paper presents some recent research results in a new parallel machine learning approach that can expedite the drug design cycle. An inductive logic programming search has been reformulated and parallelized to run on an eight node Beowulf cluster. Initial testing with several data sets indicate almost linear speedup using the cluster.

Duke Scholars

Published In

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

DOI

ISSN

0884-3627

Publication Date

January 1, 2000

Volume

3

Start / End Page

1894 / 1899
 

Citation

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MLA
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Graham, J., Page, C. D., & Wild, A. (2000). Parallel data mining for pharmacophore discovery. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 3, pp. 1894–1899). https://doi.org/10.1109/ICSMC.2000.886389
Graham, J., C. D. Page, and A. Wild. “Parallel data mining for pharmacophore discovery.” In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 3:1894–99, 2000. https://doi.org/10.1109/ICSMC.2000.886389.
Graham J, Page CD, Wild A. Parallel data mining for pharmacophore discovery. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 2000. p. 1894–9.
Graham, J., et al. “Parallel data mining for pharmacophore discovery.” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 3, 2000, pp. 1894–99. Scopus, doi:10.1109/ICSMC.2000.886389.
Graham J, Page CD, Wild A. Parallel data mining for pharmacophore discovery. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 2000. p. 1894–1899.

Published In

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

DOI

ISSN

0884-3627

Publication Date

January 1, 2000

Volume

3

Start / End Page

1894 / 1899