State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Silva:2010:IWPACBB,
  author =       "Sara Silva and Leonardo Vanneschi",
  title =        "State-of-the-Art Genetic Programming for Predicting
                 Human Oral Bioavailability of Drugs",
  booktitle =    "4th International Workshop on Practical Applications
                 of Computational Biology and Bioinformatics 2010
                 (IWPACBB 2010)",
  year =         "2010",
  editor =       "Miguel Rocha and Florentino Riverola and 
                 Hagit Shatkay and Juan Corchado",
  volume =       "74",
  series =       "Advances in Intelligent and Soft Computing",
  pages =        "165--173",
  address =      "Guimar{\~a}es, Portugal",
  month =        "16-18 " # jun,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-13213-1",
  DOI =          "doi:10.1007/978-3-642-13214-8_22",
  bibdate =      "2011-01-19",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/isami/iwpacbb2010.html#SilvaV10",
  abstract =     "Being able to predict the human oral bioavailability
                 for a potential new drug is extremely important for the
                 drug discovery process. This problem has been addressed
                 by several prediction tools, with Genetic Programming
                 providing some of the best results ever achieved. In
                 this paper we use the newest state-of-the-art
                 developments of Genetic Programming, in particular the
                 latest bloat control method, to find out exactly how
                 much improvement we can achieve on this problem.We show
                 examples of some actual solutions and discuss their
                 quality from the practitioners' point of view,
                 comparing them with previously published results. We
                 identify some unexpected behaviors and discuss the way
                 for further improving the practical usage of the
                 Genetic Programming approach.",
  affiliation =  "INESC-ID Lisboa Rua Alves Redol 9 1000-029 Lisboa
                 Portugal",
  notes =        "booktitle = Advances in Bioinformatics",
}

Genetic Programming entries for Sara Silva Leonardo Vanneschi

Citations