Deciphering the Antagonistic Nature of Phytocompounds Against Chikungunya Virus nsP2 Protease: A Combined Virtual Screening, Docking, Molecular Dynamics, and DFT Investigation

ABSTRACT Chikungunya virus (CHIKV) remains a significant global health threat due to recurrent outbreaks and the lack of approved antiviral therapies. The viral non‐structural protein 2 (nsP2) protease, which is crucial for viral replication and immune evasion, is a promising drug target. In this study, an integrated computational approach combining virtual screening, molecular docking, molecular dynamics (MD) simulations, and quantum chemical analysis (DFT) was employed to identify phytochemical inhibitors of CHIKV nsP2. A library of 5000 antiviral phytochemicals was filtered using drug‐likeness and ADMET criteria, yielding 17 candidates for docking. Protocol validation using known inhibitors (E‐64 and Ribostamycin sulfate) produced RMSD values <2.5 Å. Isorhamnetin (−8.7 kcal/mol) and apigenin (−8.2 kcal/mol) showed strong binding affinity and stable interactions with the catalytic dyad (Cys478–His548). Alanine mutagenesis confirmed the importance of these residues. MD simulations demonstrated structural stability and favorable binding energies, with isorhamnetin exhibiting superior performance. DFT analysis revealed enhanced electronic adaptability of isorhamnetin, supporting its binding efficiency. Overall, isorhamnetin emerges as a promising natural scaffold for nsP2 inhibition, warranting further experimental validation.

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Publication Details

Journal
ChemistrySelect
Published
2026-06-30
DOI
https://doi.org/10.1002/slct.202506872
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Deciphering the Antagonistic Nature of Phytocompounds Against Chikungunya Virus nsP2 Protease: A Combined Virtual Screening, Docking, Molecular Dynamics, and DFT Investigation

Priyanka Purohit, Madhusmita Panda, Biswa Ranjan Meher, Jarmani Dansana et al.
ChemistrySelect
Mosquito-borne diseases and control
article

Deciphering the Antagonistic Nature of Phytocompounds Against Chikungunya Virus nsP2 Protease: A Combined Virtual Screening, Docking, Molecular Dynamics, and DFT Investigation

Priyanka Purohit, Madhusmita Panda, Biswa Ranjan Meher, Jarmani Dansana, Abhishikta Gadtya, Bishnupriya Routaray
article en

Abstract

ABSTRACT Chikungunya virus (CHIKV) remains a significant global health threat due to recurrent outbreaks and the lack of approved antiviral therapies. The viral non‐structural protein 2 (nsP2) protease, which is crucial for viral replication and immune evasion, is a promising drug target. In this study, an integrated computational approach combining virtual screening, molecular docking, molecular dynamics (MD) simulations, and quantum chemical analysis (DFT) was employed to identify phytochemical inhibitors of CHIKV nsP2. A library of 5000 antiviral phytochemicals was filtered using drug‐likeness and ADMET criteria, yielding 17 candidates for docking. Protocol validation using known inhibitors (E‐64 and Ribostamycin sulfate) produced RMSD values <2.5 Å. Isorhamnetin (−8.7 kcal/mol) and apigenin (−8.2 kcal/mol) showed strong binding affinity and stable interactions with the catalytic dyad (Cys478–His548). Alanine mutagenesis confirmed the importance of these residues. MD simulations demonstrated structural stability and favorable binding energies, with isorhamnetin exhibiting superior performance. DFT analysis revealed enhanced electronic adaptability of isorhamnetin, supporting its binding efficiency. Overall, isorhamnetin emerges as a promising natural scaffold for nsP2 inhibition, warranting further experimental validation.

ChemistrySelectVol. 11(25)
Berhampur University (IN)
Openalex Percentile: Top 6%
Mosquito-borne diseases and control
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Deciphering the Antagonistic Nature of Phytocompounds Against Chikungunya Virus nsP2 Protease: A Combined Virtual Screening, Docking, Molecular Dynamics, and DFT Investigation — Priyanka Purohit, Madhusmita Panda, et al. · ChemistrySelect (2026) | TGRS Research Map | TGRS