Molecular fragment mining for drug discovery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3571 LNAI, Issue , 2005, Pages 1002-1013

  Borgelt, Christian ^a   Berthold, Michael R ^b   Patterson, David E ^c  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF KONSTANZ   (Germany)

^c TRIPOS INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CELLS; CONTROLLED DRUG DELIVERY; DATA STRUCTURES; DATABASE SYSTEMS; VIRUSES;

DRUG DISCOVERY; HUMAN CELLS; MOLECULAR FRAGMENT MINING;

DATA MINING;

EID: 26944452782     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11518655_84     Document Type: Conference Paper

References (9)

1. R. Agrawal, T. Imielienski, and A. Swami. Mining Association Rules between Sets of Items in Large Databases. Proc. Conf. on Management, of Data, 207-216. ACM Press, New York, NY, USA 1993
2. C. Borgelt and M.R. Berthold. Mining Molecular Fragments: Finding Relevant Substructures of Molecules. Proc. IEEE Int. Conf. on Data Mining (ICDM 2002, Maebashi, Japan), 51-58. IEEE Press, Piscataway, NJ, USA 2002
3. H. Hofer, C. Borgelt, and M.R. Berthold. Large Scale Mining of Molecular Fragments with Wildcards, Proc. 5th Int. Symposium on Intelligent. Data Analysis (IDA 2003, Berlin, Germany), 376-385. Springer-Verlag, Heidelberg, Germany 2003
4. S. Kramer, L. de Raedt, and C. Helma. Molecular Feature Mining in HIV Data. Proc. 7th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2001, San Francisco, CA), 136-143. ACM Press, New York, NY, USA 2001
5. M. Kuramochi and G. Karypis. An Efficient Algorithm for Discovering Frequent Subgraphs. Technical Report TR 02-026, Dept. of Computer Science/Army HPC Research Center, University of Minnesota, Minneapolis, USA 2002
6. T. Meinl, C. Borgelt, and M.R. Berthold. Mining Fragments with Fuzzy Chains in Molecular Databases. Proc. 2nd Int. Workshop on Mining Graphs, Trees and Sequences (MGTS 2004, Pisa, Italy), 49-60. University of Pisa, Pisa, Italy 2004
7. O. Weislow, R. Kiser, D. Fine, J. Bader, R. Shoemaker, and M. Boyd. New Soluble Formazan Assay for HIV-1 Cytopathic Effects: Application to High Flux Screening of Synthetic and Natural Products for AIDS Antiviral Activity. Journal of the National Cancer Institute, 81:577-586. Oxford University Press, Oxford, United Kingdom 1989
8. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. New Algorithms for Fast Discovery of Association Rules. Proc. 3rd Int. Conf. on Knowledge Discovery and Data Mining (KDD'97), 283-296. AAAI Press, Menlo Park, CA, USA 1997
9. http://dtp.nci.nih.gov/docs/cancer/cancer.data.html