Genetic Programming for Drug Discovery

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

  author =       "W. B. Langdon",
  title =        "Genetic Programming for Drug Discovery",
  institution =  "Computing and Electronic Systems, University of
  year =         "2008",
  number =       "CES-481",
  address =      "Wivenhoe Park, Colchester CO4 3SQ, UK",
  month =        "26 " # feb,
  keywords =     "genetic algorithms, genetic programming,
                 Bioinformatics, GSK",
  URL =          "",
  abstract =     "Genetic programming \cite{koza:book}
                 \cite{banzhaf:1997:book} \cite{langdon:fogp} is an
                 established artificial intelligence technique which is
                 used in many areas. Essentially it applies the older
                 genetic algorithm technique \cite{holland:book}
                 \cite{goldberg:book} to automatically generate
                 programs. (See Figure 1.)

                 The next section will introduce genetic programming,
                 including a very short over view of the many areas
                 where GP has been applied, before Section 4
                 concentrates on uses of genetic programming in the
                 Pharmaceutical industry. We finish with a worked
                 example (Section 5) which describes an evaluation of
                 machine learning for predicting potential drugs'
                 activity with an pharmaceutically important enzyme
                 (Human cytochrome P450 2D6) made by GlaxoSmithKline
                 chemists \cite{langdon:2001:wsc6},
                 \cite{langdon:2002:EuroGP}, \cite{langdon:2002:kdmdd},
                 \cite{his02Plenary:Langdon}, \cite{langdon:2003:CEC}.
                 Appendix A gives pointers to further information.",
  size =         "16 pages",

Genetic Programming entries for William B Langdon