• DOI:10.1109/TKDE.2005.127
Corpus ID: 61648815

Frequent Substructure-Based Approaches for Classifying Chemical Compounds

@article{Deshpande2005FrequentSA,
  title={Frequent Substructure-Based Approaches for Classifying Chemical Compounds},
  author={M. Deshpande and M. Kuramochi and N. Wale and G. Karypis},
  journal={IEEE Trans. Knowl. Data Eng.},
  year={2005},
  volume={17},
  pages={1036-1050}
}

M. Deshpande, M. Kuramochi, +1 author G. Karypis

Published 2005

Computer Science

IEEE Trans. Knowl. Data Eng.

Computational techniques that build models to correctly assign chemical compounds to various classes of interest have many applications in pharmaceutical research and are used extensively at various phases during the drug development process. These techniques are used to solve a number of classification problems such as predicting whether or not a chemical compound has the desired biological activity, is toxic or nontoxic, and filtering out drug-like compounds from large compound libraries… CONTINUE READING

View via Publisher

conservancy.umn.edu

Save to Library

Create Alert

Cite

Launch Research Feed