Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Yadav:2012:IJCA,
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author = "Geeta Yadav and Yugal Kumar and G. Sahoo",
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title = "Role of the Computational Intelligence in Drugs
Discovery and Design: Introduction, Techniques and
Software",
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journal = "International Journal of Computer Applications",
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year = "2012",
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volume = "51",
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number = "10",
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pages = "7--18",
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month = aug,
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publisher = "Foundation of Computer Science, New York, USA",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.ijcaonline.org/archives/volume51/number10/8076-1476",
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DOI = "doi:10.5120/8076-1476",
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ISSN = "0975-8887",
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bibsource = "OAI-PMH server at www.doaj.org",
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language = "eng",
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oai = "oai:doaj-articles:9454090b9f37d0791d93eb2d6bbc399e",
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URL = "http://research.ijcaonline.org/volume51/number10/pxc3881476.pdf",
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size = "12 pages",
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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