Structure-Guided Design of a Subnanomolar Dengue Virus NS4B Inhibitor

Abstract Dengue virus nonstructural protein 4B (NS4B) is an essential regulator of viral replication but remains structurally unresolved, limiting drug discovery. Here, we combine modeling, ligand-based design, and experimental validation to enable structure-guided inhibition of NS4B. Comparative models across all four serotypes reveal a conserved transmembrane binding pocket consistent with resistance mutations. Docking of JNJ-series inhibitors defines key interaction features that guide the development of predictive field-based 3D-QSAR models (R = 0.91, Q = 0.89). Prospective screening of bioisosteric and in-house compounds identifies BNJ-495 as a candidate broad-spectrum inhibitor with predicted activity across all four dengue serotypes. Experimental validation confirms potent activity against dengue virus serotype 2 (IC50 = 0.17 nM) with a high selectivity index (∼37,000). Conserved binding interactions across serotypes support broad-spectrum potential. This study establishes a general framework for targeting structurally elusive viral membrane proteins.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-10-06
DOI
https://doi.org/10.1021/acs.jcim.6c02098
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Structure-Guided Design of a Subnanomolar Dengue Virus NS4B Inhibitor

Mohammad Hassan Baig, Shozeb M Haider, Jo Yun Seong, Poomipat Laorsatiankul et al.
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

Structure-Guided Design of a Subnanomolar Dengue Virus NS4B Inhibitor

Mohammad Hassan Baig, Shozeb M Haider, Jo Yun Seong, Poomipat Laorsatiankul, Mala Ramanjaneyulu, Patan Rasvan Khan, Mehdi Hassan, Jae-June Dong, Kim Chang Joong, Shuang Chen
article en

Abstract

Abstract Dengue virus nonstructural protein 4B (NS4B) is an essential regulator of viral replication but remains structurally unresolved, limiting drug discovery. Here, we combine modeling, ligand-based design, and experimental validation to enable structure-guided inhibition of NS4B. Comparative models across all four serotypes reveal a conserved transmembrane binding pocket consistent with resistance mutations. Docking of JNJ-series inhibitors defines key interaction features that guide the development of predictive field-based 3D-QSAR models (R = 0.91, Q = 0.89). Prospective screening of bioisosteric and in-house compounds identifies BNJ-495 as a candidate broad-spectrum inhibitor with predicted activity across all four dengue serotypes. Experimental validation confirms potent activity against dengue virus serotype 2 (IC50 = 0.17 nM) with a high selectivity index (∼37,000). Conserved binding interactions across serotypes support broad-spectrum potential. This study establishes a general framework for targeting structurally elusive viral membrane proteins.

Journal of Chemical Information and Modeling
Samsung Medical Center (KR), University of Tabuk (SA)
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
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Structure-Guided Design of a Subnanomolar Dengue Virus NS4B Inhibitor — Mohammad Hassan Baig, Shozeb M Haider, et al. · Journal of Chemical Information and Modeling (2026) | TGRS Research Map | TGRS