In Silico Identification of Potential Inhibitors for Dengue Virus NS5 Methyltransferase: Molecular Docking, Dynamics, DFT, and ADME Analysis

Abstract Dengue virus (DENV) is a major global health concern, infecting over 100 million people annually with high mortality due to the absence of effective antiviral therapies. The NS5‐methyltransferase (NS5‐MTase), crucial for DENV replication, is a promising target for drug development. This study investigated phytocompounds as potential NS5‐MTase inhibitors. A virtual screening of 25,000 phytocompounds against the S‐adenosylmethionine (SAM) binding site identified four promising inhibitors (CNP0014493, CNP0014756, CNP0018882, and CNP0019696) based on docking scores and binding interactions. Molecular dynamics (MD) simulations, confirmed the stablity of these inhibitor complexes under physiological conditions, with free energy landscape analysis further supporting their thermodynamic stability. Density functional theory (DFT) study revealed that CNP0019696 and the reference compound exhibited favorable electronic properties for strong binding interactions. Additionally, in silico ADME (absorption, distribution, metabolism, and excretion) analysis suggested favorable physicochemical properties, indicating good drug‐like characteristics and bioavailability. Among the candidates, CNP0014493 and CNP0014756 emerged as the most promising, demonstrating significant potential as therapeutic agents for dengue treatment. These findings underscore the importance of targeting NS5‐MTase in developing effective antiviral therapies and highlight the potential of phytocompounds in contributing to the global fight against DENG.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2025-02-01
DOI
https://doi.org/10.1002/slct.202404185
Citations
1
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Silico Identification of Potential Inhibitors for Dengue Virus NS5 Methyltransferase: Molecular Docking, Dynamics, DFT, and ADME Analysis

Anjali Upadhyay, Bhanuranjan Das, Purna Chandra Pal
1 citations
ChemistrySelect
Mosquito-borne diseases and control
1.88
article

In Silico Identification of Potential Inhibitors for Dengue Virus NS5 Methyltransferase: Molecular Docking, Dynamics, DFT, and ADME Analysis

Anjali Upadhyay, Bhanuranjan Das, Purna Chandra Pal
article en
1 citations

Abstract

Abstract Dengue virus (DENV) is a major global health concern, infecting over 100 million people annually with high mortality due to the absence of effective antiviral therapies. The NS5‐methyltransferase (NS5‐MTase), crucial for DENV replication, is a promising target for drug development. This study investigated phytocompounds as potential NS5‐MTase inhibitors. A virtual screening of 25,000 phytocompounds against the S‐adenosylmethionine (SAM) binding site identified four promising inhibitors (CNP0014493, CNP0014756, CNP0018882, and CNP0019696) based on docking scores and binding interactions. Molecular dynamics (MD) simulations, confirmed the stablity of these inhibitor complexes under physiological conditions, with free energy landscape analysis further supporting their thermodynamic stability. Density functional theory (DFT) study revealed that CNP0019696 and the reference compound exhibited favorable electronic properties for strong binding interactions. Additionally, in silico ADME (absorption, distribution, metabolism, and excretion) analysis suggested favorable physicochemical properties, indicating good drug‐like characteristics and bioavailability. Among the candidates, CNP0014493 and CNP0014756 emerged as the most promising, demonstrating significant potential as therapeutic agents for dengue treatment. These findings underscore the importance of targeting NS5‐MTase in developing effective antiviral therapies and highlight the potential of phytocompounds in contributing to the global fight against DENG.

ChemistrySelectVol. 10(8)
Techno India University (IN), University of Lucknow (IN), Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Indian Institute of Technology (BHU) Varanasi
Affordable and clean energy
Openalex Percentile: Top 18%
Mosquito-borne diseases and control
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

In Silico Identification of Potential Inhibitors for Dengue Virus NS5 Methyltransferase: Molecular Docking, Dynamics, DFT, and ADME Analysis — Anjali Upadhyay, Bhanuranjan Das, et al. · ChemistrySelect (2025) | TGRS Research Map | TGRS