Abstract

Uracil derivatives containing various N1, N3 substituents are characterized by various pharmacological and biological activities. Since the beginning of the XXI century, among them, new biologically active substances have been discovered that have pronounced antiparasitic, antibacterial, antioxidant properties. Known that modern methods of treatment and prevention of many diseases involve the inclusion of substances that have the ability to stimulate immune processes. Such compounds, in particular, include derivatives of nucleoside bases with high biological activity. Derivatives of 6-methyluracil containing a hydrazone system are widely studied in the treatment of Alzheimer's disease, antifungal, antiviral, antianginal, anti-eczema and other types of activity. The study of the alkylation of 6-methyluracil, which contains hydrazone systems in the role of pharmacophore fragments, is one of the topical trends in the synthesis of new chains of biologically active compounds. Purpose: For this purpose, we studied the alkylation of 6-methyl-3- (1,1-dioxidothietan-3-yl) pyrimidin-2,4 (1H, 3H)-dione with 1-chloropropan-2-one and the interaction of the resulting N1- 2-oxopropyl derivative with various hydrazines. Materials and Methods: The individuality of the new compounds was confirmed by the method of thin layer chromatography and determination of the melting point. The structure of the synthesized substances was confirmed by elemental analysis and NMR spectroscopy. Statistical data processing was carried out using variational analysis using the STATISTICA 8.0 software package. Student's test was chosen as a criterion for the representativeness of statistical processing. A preliminary analysis of toxicity and types of potential biological activity was carried out in silico using the resources of the Internet platform Way2Drag. Conclusions: Methods of synthesis have been developed and the most probable types of biological and pharmacological influence have been statistically processed, proceeding from the value of the probability of being active and the probability of inertness. Based on the analysis of data, modeled types of biological activity, some patterns of "structure-activity" are determined. In the conclusion, further directions of research are identified.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.