Prediction of Biological Activity for High-Throughput Screening Using Binary Kernel Discrimination
Author:
Affiliation:
1. GlaxoSmithKline Research and Development, Medicines Research Centre, Gunnels Wood Road, Stevenage SG1 2NY, U.K., and Department of Statistics, University of Oxford, 1 South Parks Road, Oxford OX1 3TG, U.K.
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci000397q
Reference24 articles.
1. The Metabolic Fate of Thiabendazole in Sheep1
2. Quantitative approach to biochemical structure-activity relationships
3. Using Artificial Neural Networks to Predict Biological Activity from Simple Molecular Structural Considerations
4. A Scoring Scheme for Discriminating between Drugs and Nondrugs
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