http://dspace.bsu.edu.ru/handle/123456789/46603
Title: | Review of machine learning technologies and neural networks in drug synergy combination pharmacological research |
Authors: | Ter-Levonian, A. S. Koshechkin, K. A. |
Keywords: | medicine pharmacology Deep Learning drug synergy informatics machine learning neural networks preclinical study |
Issue Date: | 2020 |
Citation: | Ter-Levonian A.S. Review of machine learning technologies and neural networks in drug synergy combination pharmacological research / A.S. Ter-Levonian, K.A. Koshechkin // Research Results in Pharmacology. - 2020. - Vol.6, №3.-P. 27-32. - Doi: 10.3897/rrpharmacology.6.49591. |
Abstract: | Using machine learning (in silico) allows predicting how to get the right combination of drugs and skip the experimental steps in a study that take a lot of time and financial expenses. Gradual preparation is needed for the Deep Learning of Drug Synergy, starting from creating a base of drugs, their characteristics and ways of interacting |
URI: | http://dspace.bsu.edu.ru/handle/123456789/46603 |
Appears in Collections: | Vol. 6, № 3 |
File | Description | Size | Format | |
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Ter-Levonian_Review.pdf | 319.26 kB | Adobe PDF | View/Open |
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