Molecular modeling and development of dosage forms based on gliclazide and biologically active substances of plant origin

DOI: https://doi.org/10.29296/25419218-2023-03-06
Issue: 
3
Year: 
2023

G. Asomuddin(1), S.E. Storozhenko(2), E.F. Stepanova(3), L.V. Pogrebnyak(3), A.V. Pogrebnyak(3)
1-NOU "Medical College" of the district of M.S. Hamadoni, Ismoili Somoni street, 27, Hamadoni district, 734026, Tajikistan;
2-FGBOU VO Krasnoyarsk State Medical University named after prof. V.F. Voyno–Yasenetsky, Ministry of Health of Russia, Prospekt Mira, 70, Krasnoyarsk, 660049, Russian Federation;
3-Pyatigorsk Medical and Pharmaceutical Institute – branch of the Volgograd State Medical University of the Ministry of Health of the Russian Federation, Kalinina Ave., 11, Pyatigorsk, 357534, Russian Federation

Introduction. Diabetes mellitus is one of the most serious diseases of our time, with the most serious mortality rates. Despite the significant advances in pharmacy, the incidence statistics remain practically unchanged, while maintenance therapy is still the main tool. Objective. Selection of low-toxic composite antidiabetic drugs by molecular modeling. The search should not be limited to individual remedies, as combinations are often more effective. Material and methods. The calculation was carried out by the PM7 quantum-chemical method. The calculation of the descriptor "specific (by area) heat of hydration" made it possible to scale the heat of hydration and compare molecules of any size according to this criterion Results. Theoretical and experimental studies have been carried out to find the original composition of synthetic and natural antidiabetic agents. A number of quantum-chemical calculations of the structures of active substances have been carried out and physico-chemical descriptors associated with biological action have been identified. Conclusion. The optimal composition of the dosage form with the composite composition was developed, preliminary pharmacological tests were carried out, which showed positive results
Keywords: 
molecular modeling
descriptors
antidiabetic composition.
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