NEURAL NETWORKS APPLICATION FOR PREDICTION OF FLEXIBLE ORGANIC COMPOUNDS PROPERTIES
Valery V. Burlyaev, Elena V. Burlyaeva, Maxim E. Berlin
Pages: 485-492
Published: 1 Jan 2009
Views: 254
Downloads: 38
Abstract: The computer prediction of organic compound properties makes pharmacological investigations more cheap and soon. The prognosis is based on relations between molecular structures and properties of a series of known compounds. We use artificial neural network to model these relations and provide the technique for prediction of organic compounds properties based on ANN. We provide the regulation algorithm to improve the predictive power of the networks.
Keywords: drug design, artificial neural networks, function modeling
Cite this article: Valery V. Burlyaev, Elena V. Burlyaeva, Maxim E. Berlin. NEURAL NETWORKS APPLICATION FOR PREDICTION OF FLEXIBLE ORGANIC COMPOUNDS PROPERTIES. Journal of International Scientific Publications: Materials, Methods & Technologies 3, 485-492 (2009). https://www.scientific-publications.net/en/article/1003505/
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