Applying data mining techniques to library design, lead generation and lead optimization

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

@Article{Weaver:2004:COCB,
  author =       "Daniel C. Weaver",
  title =        "Applying data mining techniques to library design,
                 lead generation and lead optimization",
  journal =      "Current Opinion in Chemical Biology",
  year =         "2004",
  volume =       "8",
  pages =        "264--270",
  number =       "3",
  abstract =     "Many data mining techniques have been applied to
                 activity and ADMET datasets and the resulting models
                 are being used to understand quantitative
                 structure-activity relationships and design new
                 libraries. This review summarises data mining concepts
                 and discuss their application to library design, lead
                 generation (particularly for sequential screening) and
                 lead optimisation (specifically for generating and
                 interpreting QSAR models). Also, this review discusses
                 recent comparative studies between data mining
                 techniques and draws some conclusions about the
                 patterns emerging in the drug discovery data mining
                 field.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6VRX-4CB69R1-2/2/84a354cec9064ed07baab6a07998c942",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1016/j.cbpa.2004.04.005",
  notes =        "Array Biopharma, Inc., 3200 Walnut Street, Boulder,
                 Colorado 80303, USA PMID: 15183324 [PubMed - indexed
                 for MEDLINE]",
}

Genetic Programming entries for Daniel C Weaver

Citations