Modeling of the structure and forecasting properties of dihydroquercetin derivatives-Reference-Cited by-同舟云学术

Modeling of the structure and forecasting properties of dihydroquercetin derivatives

Published:2022-02-01 Issue:2 Volume:48 Page:52-57
ISSN:0363-9045
Container-title:Drug Development and Industrial Pharmacy
language:en
Short-container-title:Drug Development and Industrial Pharmacy

Author:

Boshkayeva A. K.¹^ORCID,Omarova R. A.²^ORCID,Ordabayeva S. K.³^ORCID,Serikbayeva A. D.³^ORCID,Umurzakhova G. G.⁴^ORCID,Massakbayev A. J.⁵^ORCID

Affiliation:

1. Department of Pharmaceutical and Toxicological Chemistry, Pharmacognosy and Botany, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan

2. Department of Engineering Disciplines, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan

3. Department of Pharmaceutical and Toxicological Chemistry, South Kazakhstan Medical Academy JSC, Shymkent, Republic of Kazakhstan

4. Department of Organization and Management of Pharmaceutical Affairs, South Kazakhstan Medical Academy JSC, Shymkent, Republic of Kazakhstan

5. LLP «Kelun – Kazpharm», Almaty, Republic of Kazakhstan

Publisher

Informa UK Limited

Subject

Organic Chemistry,Drug Discovery,Pharmaceutical Science,Pharmacology

Link

https://www.tandfonline.com/doi/pdf/10.1080/03639045.2022.2094398

Reference33 articles.

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2. Semenov SA. Hyper chem application suite quantum mechanics: textbook, MITChT named after Lomonosov: Moscow, Russian; 2006.

3. Höltier HD, Zippl W, Ronyan D. Molecular modeling: theory and practice, binom. Knowledge Laboratory: Moscow, Russian; 2013.

4. Kobzev GI. The use of non-empirical and semi-empirical methods in quantum chemical calculations: a training manual, GOU OGU: Orenburg, Russian; 2004.

5. Extension of the MST continuum solvation model to the RM1 semiempirical hamiltonian

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