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Abstract
Modern Applications in Pharmacy & Pharmacology
From the Energetic Materials Genome to the Drugs Genome
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Open or CloseAnufrieva DA* and Abrukov VS
Chuvash State University, Russia
*Corresponding author:Anufrieva DA, Chuvash State University, Russia
Submission: March 27, 2023; Published: May 03, 2023
ISSN 2637-7756 Volume3 Issue2
Abstract
The capabilities of multifactor computational models of experimental data enriched with metadata in the field of combustion and detonation of energetic materials with complex chemical composition are described. Models created using neural networks allow for solving direct and inverse problems, conducting virtual experiments, and solving prediction tasks. The collection of such models implements the concept of the “Genome of Energetic Materials”. The prospects for creating similar models in pharmacology and setting tasks for creating a Drugs Genome are demonstrated.
Keywords: Genome; Experimental data; Neural networks; Multifactor computational models; Energetic materials; Drug compounds
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