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DOI 10.2174/1573409919666230626140339

Медицинская библиотека · Current computer-aided drug design · 2024

Virtual Screening of Flavonoids against Plasmodium vivax Duffy Binding Protein Utilizing Molecular Docking and Molecular Dynamic Simulation.

Yasir Muhammad, Park Jinyoung, Han Eun-Taek, Park Won Sun, Han Jin-Hee, Kwon Yong-Soo, Lee Hee-Jae, Chun Wanjoo

СтатьяПеревод пока не подготовлен

Аннотация

BACKGROUND

Plasmodium vivax (P. vivax) is one of the highly prevalent human malaria parasites. Due to the presence of extravascular reservoirs, P. vivax is extremely challenging to manage and eradicate. Traditionally, flavonoids have been widely used to combat various diseases. Recently, biflavonoids were discovered to be effective against Plasmodium falciparum.

METHODS

In this study, in silico approaches were utilized to inhibit Duffy binding protein (DBP), responsible for Plasmodium invasion into red blood cells (RBC). The interaction of flavonoid molecules with the Duffy antigen receptor for chemokines (DARC) binding site of DBP was investigated using a molecular docking approach. Furthermore, molecular dynamic simulation studies were carried out to study the stability of top-docked complexes.

RESULTS

The results showed the effectiveness of flavonoids, such as daidzein, genistein, kaempferol, and quercetin, in the DBP binding site. These flavonoids were found to bind in the active region of DBP. Furthermore, the stability of these four ligands was maintained throughout the 50 ns simulation, maintaining stable hydrogen bond formation with the active site residues of DBP.

CONCLUSION

The present study suggests that flavonoids might be good candidates and novel agents against DBP-mediated RBC invasion of P. vivax and can be further analyzed in in vitro studies.

Для цитирования: Yasir Muhammad, Park Jinyoung, Han Eun-Taek, Park Won Sun, Han Jin-Hee, Kwon Yong-Soo, Lee Hee-Jae, Chun Wanjoo. Virtual Screening of Flavonoids against Plasmodium vivax Duffy Binding Protein Utilizing Molecular Docking and Molecular Dynamic Simulation.. Current computer-aided drug design. 2024. DOI: 10.2174/1573409919666230626140339.

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