Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software

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@Article{Yadav:2012:IJCA,
  author =       "Geeta Yadav and Yugal Kumar and G. Sahoo",
  title =        "Role of the Computational Intelligence in Drugs
                 Discovery and Design: Introduction, Techniques and
                 Software",
  journal =      "International Journal of Computer Applications",
  year =         "2012",
  volume =       "51",
  number =       "10",
  pages =        "7--18",
  month =        aug,
  publisher =    "Foundation of Computer Science, New York, USA",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.ijcaonline.org/archives/volume51/number10/8076-1476",
  DOI =          "doi:10.5120/8076-1476",
  ISSN =         "0975-8887",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:9454090b9f37d0791d93eb2d6bbc399e",
  URL =          "http://research.ijcaonline.org/volume51/number10/pxc3881476.pdf",
  size =         "12 pages",
  abstract =     "Drugs discovery and design is an intense, lengthy and
                 consecutive process that starts with the lead and
                 target discovery followed by lead optimisation and
                 pre-clinical in vitro and in vivo studies. This paper
                 throws light on different computational techniques that
                 play a vital role in the drugs discovery and design
                 process. Earlier, computational techniques are use in
                 the field of computer science, electrical engineering
                 and electronics and communication engineering to solve
                 the problems. But, now days use of these techniques has
                 changed the scenario in drugs discovery and design from
                 the last two decades. This paper present brief
                 description of different computational techniques such
                 as Particle Swarm Optimisation, Ant Colony
                 Optimisation, Artificial Neural Network, Fuzzy logic,
                 Genetic Algorithm, Genetic Programming, Evolutionary
                 Programming, Evolutionary Strategy and also provide a
                 tabular comparison of these techniques as well as a
                 list of computational tools/ software.",
}

Genetic Programming entries for Geeta Yadav Yugal Kumar G Sahoo

Citations