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Machine Learning in Virtual Screening

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 332-343
Author(s): James L. Melville, Edmund K. Burke, Jonathan D. Hirst

Machine Learning Quantitative Structure-Activity Relationships (QSAR) for Peptides Binding to the Human Amphiphysin-1 SH3 Domain

Journal: Current Proteomics
Volume: 6 Issue: 4 Year: 2009 Page: 289-302
Author(s): Ovidiu Ivanciuc

The Applications of Machine Learning Algorithms in the Modeling of Estrogen-Like Chemicals

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 5 Year: 2009 Page: 490-496
Author(s): Huanxiang Liu, Xiaojun Yao, Paola Gramatica

Structure-Based Drug Screening and Ligand-Based Drug Screening with Machine Learning

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 397-408
Author(s): Yoshifumi Fukunishi

Virtual Screening for Cytochromes P450: Successes of Machine Learning Filters

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 369-382
Author(s): Julien Burton, Ismail Ijjaali, Francois Petitet, Andre Michel, Daniel P. Vercauteren

Comparative Analysis of Machine Learning Methods in Ligand-Based Virtual Screening of Large Compound Libraries

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 344-357
Author(s): Xiao H. Ma, Jia Jia, Feng Zhu, Ying Xue, Ze R. Li, Yu Z. Chen

Performance of Machine Learning Methods for Ligand-Based Virtual Screening

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 358-368
Author(s): Dariusz Plewczynski, Stephane A.H. Spieser, Uwe Koch

How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 5 Year: 2009 Page: 453-468
Author(s): Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Gilles Blanchard

Review on Lazy Learning Regressors and their Applications in QSAR

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 4 Year: 2009 Page: 440-450
Author(s): Abhijit J. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Subspace Learning for Background Modeling: A Survey

Journal: Recent Patents on Computer Science
Volume: 2 Issue: 3 Year: 2009 Page: 223-234
Author(s): Thierry Bouwmans

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