Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Archetti:2007:evobio,
  author =       "Francesco Archetti and Stefano Lanzeni and 
                 Enza Messina and Leonardo Vanneschi",
  title =        "Genetic Programming and Other Machine Learning
                 Approaches to Predict Median Oral Lethal Dose (LD50)
                 and Plasma Protein Binding Levels (%PPB) of Drugs",
  booktitle =    "EvoBIO 2007, Proceedings of the 5th European
                 Conference on Evolutionary Computation, Machine
                 Learning and Data Mining in Bioinformatics",
  year =         "2007",
  editor =       "Elena Marchiori and Jason H. Moore and 
                 Jagath C. Rajapakse",
  volume =       "4447",
  series =       "Lecture Notes in Computer Science",
  pages =        "11--23",
  address =      "Valencia, Spain",
  publisher_address = "Berlin Heidelberg NewYork",
  month =        apr # " 11-13",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0302-9743",
  ISBN =         "3-540-71782-X",
  ISBN-13 =      "978-3-540-71782-9",
  DOI =          "doi:10.1007/978-3-540-71783-6_2",
  abstract =     "Computational methods allowing reliable
                 pharmacokinetics predictions for newly synthesised
                 compounds are critically relevant for drug discovery
                 and development. Here we present an empirical study
                 focusing on various versions of Genetic Programming and
                 other well known Machine Learning techniques to predict
                 Median Oral Lethal Dose (LD50) and Plasma Protein
                 Binding (%PPB) levels. Since these two parameters
                 respectively characterise the harmful effects and the
                 distribution into human body of a drug, their accurate
                 prediction is essential for the selection of effective
                 molecules. The obtained results confirm that Genetic
                 Programming is a promising technique for predicting
                 pharmacokinetics parameters, both from the point of
                 view of the accurateness and of the generalisation
                 ability.",
  notes =        "EvoBIO2007",
}

Genetic Programming entries for Francesco Archetti Stefano Lanzeni Enza Messina Leonardo Vanneschi

Citations