Identification and evaluation of bioactive compounds from Azadirachta indica as potential inhibitors of DENV-2 capsid protein: An integrative study utilizing network pharmacology, molecular docking, molecular dynamics simulations, and machine learnin

The hit compounds identified in the present investigation hold the potential for developing drugs targeting dengue virus infections. Furthermore, the knowledge gathered from this study serves as a foundation for the structure- or ligand-based exploration of anti-dengue compounds.

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Publication Details

Journal
Heliyon
Published
2025-02-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e42594
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Identification and evaluation of bioactive compounds from Azadirachta indica as potential inhibitors of DENV-2 capsid protein: An integrative study utilizing network pharmacology, molecular docking, molecular dynamics simulations, and machine learnin

Md. Nazmul Hasan Zilani, Mahedi Hasan, Nahid Hasan, Md. Ahad Ali Khan
1 citations
Heliyon
Computational Drug Discovery Methods
1.50
article

Identification and evaluation of bioactive compounds from Azadirachta indica as potential inhibitors of DENV-2 capsid protein: An integrative study utilizing network pharmacology, molecular docking, molecular dynamics simulations, and machine learnin

Md. Nazmul Hasan Zilani, Mahedi Hasan, Nahid Hasan, Md. Ahad Ali Khan
article en
1 citations

Abstract

The hit compounds identified in the present investigation hold the potential for developing drugs targeting dengue virus infections. Furthermore, the knowledge gathered from this study serves as a foundation for the structure- or ligand-based exploration of anti-dengue compounds.

HeliyonVol. 11(4)
Manarat International University (BD)
Openalex Percentile: Top 20%
Computational Drug Discovery Methods
1.50
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