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Please use this identifier to cite or link to this item: 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

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