NEURAL NETWORKS APPLICATION FOR PREDICTION OF FLEXIBLE ORGANIC COMPOUNDS PROPERTIES
Valery V. Burlyaev, Elena V. Burlyaeva, Maxim E. Berlin
Страници: 485-492
Публикувана: 1 Jan 2009
Преглеждания: 418
Изтегляния: 50
Резюме: 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.
Ключови думи: drug design, artificial neural networks, function modeling
Цитирайте тази статия: 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/
Обратно към съдържанието на тома
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
