Genetically Evolved Receptor Models (GERM): A Computational Approach to Construction of Receptor Models

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

@Article{Walters:1994:GERM,
  author =       "D. Eric Walters and R. Michael Hinds",
  title =        "Genetically Evolved Receptor Models (GERM): A
                 Computational Approach to Construction of Receptor
                 Models",
  journal =      "Journal of Medicinal Chemistry",
  year =         "1994",
  volume =       "37",
  number =       "16",
  pages =        "2527--2536",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0022-2623",
  DOI =          "doi:10.1021/jm00042a006",
  size =         "10 pages",
  abstract =     "Given the three-dimensional structure of a receptor
                 site, there are several methods available for designing
                 ligands to occupy the site; frequently, the
                 three-dimensional structure of interesting receptors is
                 not known, however. The GERM program uses a genetic
                 algorithm to produce atomic-level models of receptor
                 sites, based on a small set of known structure-activity
                 relationships. The evolved models show a high
                 correlation between calculated intermolecular energies
                 and bioactivities; they also give reasonable
                 predictions of bioactivity for compounds which were not
                 included in model generation. Such models may serve as
                 starting points for computational or human ligand
                 design efforts.",
  notes =        "

                 reprints available on request--send a mailing address
                 D. Eric Walters, Ph.D., Associate Professor, Biological
                 Chemistry Finch University of Health Sciences/The
                 Chicago Medical School 3333 Green Bay Road, North
                 Chicago, IL 60064 ph 708-578-3000, x-498;fax
                 708-578-3240; email: walterse@mis.fuhscms.edu",
}

Genetic Programming entries for D Eric Walters R Michael Hinds

Citations