Evaluation of different machine learning methods for ligand-based virtual screening

Journal of Cheminformatics

Volumn 3, Issue SUPPL. 1, 2011, Pages

  Kurczab, R ^a   Smusz, S ^a   Bojarski, A J ^a  

^a INSTITUTE OF PHARMACOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79954987569     PISSN: None     EISSN: 17582946     Source Type: Journal    
DOI: 10.1186/1758-2946-3-S1-P41     Document Type: Conference Paper

References (4)

1. Machine Learning in Virtual Screening. J Melvile E Burke J Hirst, Comb. Chem. High Throughput Screening 2009 12 332 343 10.2174/138620709788167980
2. Performance of machine learning methods for ligand-based virtual screening. D Plewczynski S Spieser U Koch, Comb Chem High Throughput Screening 2009 12 358 368 10.2174/138620709788167962
3. Comparative analysis of machine learning methods in ligand-based virtual screening of large compound libraries. X Ma J Jia F Zhu Y Xue Z Li Y Chen, Comb Chem High Throughput Screening 2009 12 344 357 10.2174/138620709788167944
4. The WEKA Data Mining Software. M Hall E Frank G Holmes B Pfahringer P Reutemann I Witten, SIGKDD Explorations 2009 11 10 18 10.1145/1656274.1656278