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
APA
Chicago
ICMJE
MLA
NLM
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