Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease. Klon, A. E.; Glick, M.; and Davies, J. W. Journal of Chemical Information and Modeling, 44(6):2216-2224, 2004.
Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease. [link]Link  Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease. [link]Paper  bibtex   
@article{journals/jcisd/KlonGD04,
  added-at = {2006-10-25T00:00:00.000+0200},
  author = {Klon, Anthony E. and Glick, Meir and Davies, John W.},
  biburl = {http://www.bibsonomy.org/bibtex/2ec99d90897072e5174313fb7712b873a/dblp},
  date = {2006-10-25},
  description = {dblp},
  ee = {http://dx.doi.org/10.1021/ci0497861},
  interhash = {abab921e4f117fadcc701a45d4588d66},
  intrahash = {ec99d90897072e5174313fb7712b873a},
  journal = {Journal of Chemical Information and Modeling},
  keywords = {dblp},
  number = 6,
  pages = {2216-2224},
  timestamp = {2006-10-25T00:00:00.000+0200},
  title = {Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease.},
  url = {http://dblp.uni-trier.de/db/journals/jcisd/jcisd44.html#KlonGD04},
  volume = 44,
  year = 2004
}
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