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In Silico Screening of Phytocompounds from West African Traditional Medicine and Molecular Docking Targeting Dengue Virus Protein NS2B/NS3.
Kantagba, Yves M K; Barro, Seydou Golo; Nikiema, Serge L W; Staccini, Pascal.
Afiliación
  • Kantagba YMK; Université NAZI BONI, Bobo Dioulasso, Burkina-Faso.
  • Barro SG; Centre de Formation et de Recherche en Technologie Médicale, Bobo Dioulasso, Burkina-Faso.
  • Nikiema SLW; Université NAZI BONI, Bobo Dioulasso, Burkina-Faso.
  • Staccini P; Centre de Formation et de Recherche en Technologie Médicale, Bobo Dioulasso, Burkina-Faso.
Stud Health Technol Inform ; 316: 631-635, 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39176820
ABSTRACT
Traditional medicine offers a wide range of application for in silico study techniques. This drug research and development strategy is embryonic in the West African context, particularly in Burkina Faso, which is increasingly faced with emerging diseases such as dengue fever. Circulation of the 4 serotypes of this virus has been documented in the country. This study aims to evaluate the therapeutic potential of phytocompounds contained in the West African pharmacopoeia against dengue virus NS2B/NS3 protein, using computational methods integrating several software packages and databases. Based on a literature review, we identified 191 molecules from 30 plants known for their antiviral effects. Five met the inclusion criteria for molecular docking patulin from calotropis procera, resiniferonol from Euphorbia poissonii, Securinol A from Flueggea virosa, Shikimic acid and Methyl gallate from Terminalia macroptera. The best binding scores were observed between resiniferonol and the serotypes 1, 2 and 4 NS2B/NS3 protease, with binding energies of -7.4 Kcal/mol, -6.8 Kcal/mol and -7.3 Kcal/mol respectively; while the NS2B/NS3 protease of serotype 3 had the best affinity for securinol A (-7 Kcal/mol). This study points the way to further research in computer aided drug design field and calls for multidisciplinary collaboration to promote West African medicinal plants against health challenges.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas no Estructurales Virales / Simulación del Acoplamiento Molecular Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas no Estructurales Virales / Simulación del Acoplamiento Molecular Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article