Cheminformatics analysis of the AR agonist and antagonist datasets in PubChem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1186/s13321-016-0150-6.pdf
Reference34 articles.
1. Wang Y, Suzek T, Zhang J, Wang J, He S, Cheng T, Shoemaker BA, Gindulyte A, Bryant SH (2014) PubChem BioAssay: 2014 update. Nucleic Acids Res 42:D1075–D1082
2. Cheng T, Pan Y, Hao M, Wang Y, Bryant SH (2014) PubChem applications in drug discovery: a bibliometric analysis. Drug Discov Today 19:1751–1756
3. Rupp M, Schroeter T, Steri R, Proschak E, Hansen K, Zettl H, Rau O, Schubert-Zsilavecz M, Müller K-R, Schneider G (2010) Kernel learning for ligand-based virtual screening: discovery of a new PPARγ agonist. J Cheminform 2:P27
4. Reynolds CR, Sternberg MJ (2012) Integrating logic-based machine learning and virtual screening to discover new drugs. J Cheminform 4:O10
5. Kurczab R, Smusz S, Bojarski AJ (2014) The influence of negative training set size on machine learning-based virtual screening. J Cheminform 6:32
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