Sciact
  • EN
  • RU

Triterpenic Acid Amides as Potential Inhibitors of the SARS-CoV-2 Main Protease Научная публикация

Журнал Molecules
, E-ISSN: 1420-3049
Вых. Данные Год: 2023, Том: 28, Номер: 1, Страницы: 303 Страниц : 1 DOI: 10.3390/molecules28010303
Ключевые слова triterpene amide; SARS-CoV-2; main protease; molecular modeling; FRET; antiviral
Авторы Baev Dmitry S. 1 , Blokhin Mikhail E. 1 , Chirkova Varvara Yu. 2 , Belenkaya Svetlana V. 3 , Luzina Olga A. 1 , Yarovaya Olga I. 1 , Salakhutdinov Nariman F. 1 , Shcherbakov Dmitry N. 3
Организации
1 N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry of Siberian Branch of Russian Academy of Sciences
2 Altai State University
3 State Research Center of Virology and Biotechnology VECTOR

Реферат: Although the incidence and mortality of SARS-CoV-2 infection has been declining during the pandemic, the problem related to designing novel antiviral drugs that could effectively resist viruses in the future remains relevant. As part of our continued search for chemical compounds that are capable of exerting an antiviral effect against the SARS-CoV-2 virus, we studied the ability of triterpenic acid amides to inhibit the SARS-CoV-2 main protease. Molecular modeling suggested that the compounds are able to bind to the active site of the main protease via non-covalent interactions. The FRET-based enzyme assay was used to reveal that compounds 1e and 1b can inhibit the SARSCoV-2 main protease at micromolar concentrations.
Библиографическая ссылка: Baev D.S. , Blokhin M.E. , Chirkova V.Y. , Belenkaya S.V. , Luzina O.A. , Yarovaya O.I. , Salakhutdinov N.F. , Shcherbakov D.N.
Triterpenic Acid Amides as Potential Inhibitors of the SARS-CoV-2 Main Protease
Molecules. 2023. V.28. N1. P.303. DOI: 10.3390/molecules28010303 WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: 9 дек. 2022 г.
Принята к публикации: 28 дек. 2022 г.
Опубликована в печати: 30 дек. 2022 г.
Идентификаторы БД:
Web of science: WOS:000909074900001
Scopus: 2-s2.0-85145736389
РИНЦ: 59284445
OpenAlex: W4313472282
Цитирование в БД:
БД Цитирований
OpenAlex 7
Web of science 9
Scopus 8
Альметрики: