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«GERONTOLOGY» Scientific Journal

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IN SILICO RESEARCH OF ENDO- AND EXOTOXICITY OF SOME BIOLOGICALLY ACTIVE SUBSTANCES FROM THE EXTRACT MELISSA OFFICINALIS L

Bessarabov V.I.1, Palchevskaja T.A.1, Kuzmina G.I.1, Strokan A.P.1, Resnicki I.V.1
1. Kyiv National University of Technologies and Design, Industrial Pharmacy Department, Kyiv, Ukraine
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Summary:
The article discusses the results of the study endotoxicity and exotoxicity of some biologically active substances from the dried extract Melissa officinalis L., which could potentially be used as an active pharmaceutical ingredient (API) of the model geriatric drag - suppressants by espresso proinflammatory cytokines in humans. The study was conducted by using in silico virtual screening when Prediction of Activity Spectra for Substances (PASS). It is shown that geraniol, citronellol, linalool and geranilatsetat, are biologically active substances that are part of a dry extract of Melissa officinalis L., characterized by low endotoxicity by QSAR analysis on the results of the toxicological effects of chemicals on model organisms (rat) for the four types of administration (oral, intravenous, intraperitoneal, subcutaneous) and low environmental toxicity by QSAR analysis results of the toxicological effects of chemicals on aquatic organisms model. It was concluded that the four biologically active substances from the dry extract of Melissa officinalis L., is a potential APIs of drug for designed to reduce the expression of pro-inflammatory cytokines, to meet the specific requirements of the geriatric drugs from a position of low endo- and exotoxicity.
Keywords in silico, virtual screening, elderly people, active pharmaceutical ingredients, gerontology.

Bibliographic reference:
Bessarabov V.I., Palchevskaja T.A., Kuzmina G.I., Strokan A.P., Resnicki I.V., IN SILICO RESEARCH OF ENDO- AND EXOTOXICITY OF SOME BIOLOGICALLY ACTIVE SUBSTANCES FROM THE EXTRACT MELISSA OFFICINALIS L // «GERONTOLOGY» Scientific Journal. - 2015. - №1;
URL: http://www.gerontology.su/magazines?textEn=200 (date of access: 21.11.2017).

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