A document classifier for medicinal chemistry publications trained on the ChEMBL corpus

[1]  Gerard J. P. van Westen,et al.  Chemical, Target, and Bioactive Properties of Allosteric Modulation , 2014, PLoS Comput. Biol..

[2]  George Papadatos,et al.  The ChEMBL bioactivity database: an update , 2013, Nucleic Acids Res..

[3]  Thomas C. Wiegers,et al.  Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-Gene-Disease Curation at the Comparative Toxicogenomics Database , 2013, PloS one.

[4]  Patrick Ruch,et al.  Using binary classification to prioritize and curate articles for the Comparative Toxicogenomics Database , 2012, Database J. Biol. Databases Curation.

[5]  Ulf Leser,et al.  ChemSpot: a hybrid system for chemical named entity recognition , 2012, Bioinform..

[6]  H. Brown Pay-per-view in interlibrary loan: a case study. , 2012, Journal of the Medical Library Association : JMLA.

[7]  Claire O'Donovan,et al.  Biocurators and Biocuration: surveying the 21st century challenges , 2012, Database J. Biol. Databases Curation.

[8]  Egon L. Willighagen,et al.  OSCAR4: a flexible architecture for chemical text-mining , 2011, J. Cheminformatics.

[9]  Dietrich Rebholz-Schuhmann,et al.  Text processing through Web services: calling Whatizit , 2008, Bioinform..

[10]  Xin Wen,et al.  BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities , 2006, Nucleic Acids Res..

[11]  Thorsten Meinl,et al.  KNIME: The Konstanz Information Miner , 2007, GfKl.

[12]  D. Rebholz-Schuhmann,et al.  Facts from Text—Is Text Mining Ready to Deliver? , 2005, PLoS biology.

[13]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[14]  Pedro M. Domingos,et al.  On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.