Russian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Molecular Modeling 2012-Jan

Molecular modeling, docking and dynamics simulations of GNA-related lectins for potential prevention of influenza virus (H1N1).

Только зарегистрированные пользователи могут переводить статьи
Войти Зарегистрироваться
Ссылка сохраняется в буфер обмена
Huai-long Xu
Chun-yang Li
Xue-mei He
Ke-qin Niu
Hao Peng
Wen-wen Li
Cheng-cheng Zhou
Jin-ku Bao

Ключевые слова

абстрактный

The Galanthus nivalis agglutinin (GNA)-related lectin family exhibit significant anti-HIV and anti-HSV properties that are closely related to their carbohydrate-binding activities. However, there is still no conclusive evidence that GNA-related lectins possess anti-influenza properties. The hemagglutinin (HA) of influenza virus is a surface protein that is involved in binding host cell sialic acid during the early stages of infection. Herein, we studied the 3D-QSARs (three-dimensional quantitative structure-activity relationships) of lectin- and HA-sialic acid by molecular modeling. The affinities and stabilities of lectin- and HA-sialic acid complexes were also assessed by molecular docking and molecular dynamics simulations. Finally, anti-influenza GNA-related lectins that possess stable conformations and higher binding affinities for sialic acid than HAs of human influenza virus were screened, and a possible mechanism was proposed. Accordingly, our results indicate that some GNA-related lectins, such as Yucca filamentosa lectin and Polygonatum cyrtonema lectin, could act as drugs that prevent influenza virus infection via competitive binding. In conclusion, the GNA-related lectin family may be helpful in the design of novel candidate agents for preventing influenza A infection through the use of competitive combination against sialic acid specific viral infection.

Присоединяйтесь к нашей
странице facebook

Самая полная база данных о лекарственных травах, подтвержденная наукой

  • Работает на 55 языках
  • Травяные лекарства, подтвержденные наукой
  • Распознавание трав по изображению
  • Интерактивная карта GPS - отметьте травы на месте (скоро)
  • Прочтите научные публикации, связанные с вашим поиском
  • Ищите лекарственные травы по их действию
  • Организуйте свои интересы и будьте в курсе новостей исследований, клинических испытаний и патентов

Введите симптом или заболевание и прочтите о травах, которые могут помочь, введите лекарство и узнайте о болезнях и симптомах, против которых оно применяется.
* Вся информация основана на опубликованных научных исследованиях.

Google Play badgeApp Store badge