- author = "W. B. Langdon",
- title = "Genetic Programming for Drug Discovery",
- institution = "Computing and Electronic Systems, University of Essex",
- year = "2008",
- number = "CES-481",
- address = "Wivenhoe Park, Colchester CO4 3SQ, UK",
- month = "26 " # feb,
- keywords = "genetic algorithms, genetic programming, Bioinformatics, GSK",
-
URL = "
http://www.essex.ac.uk/dces/research/publications/technicalreports/2007/ces-481.pdf",
-
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{langdon:2002:iberamia}, \cite{his02Plenary:Langdon}, \cite{langdon:2003:CEC}. Appendix A gives pointers to further information.",
- size = "16 pages",
