Abstract
In coniferous plants of the Picea Genus, common in the Urals, using a bioinformatic approach, 12 biologically active substances were selected, in which potential biological activity was evaluated. The analyzed biologically active substances belong to terpenes and terpenoids, they are divided into 2 groups, which, along with others, have antibacterial and anti-inflammatory activities. BAS with antibacterial activity were identified as promising: canfen, α-pinene, β-myrcene, trans-caryophyllene, borneol, manool. Bioinformatics analysis is only the first step in the study of biologically active substances in coniferous plants.
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