Exploring Drug Repurposing for Influenza A (H3N2) Virus: A Computational Approach to Identifying Commercialized Drugs Targeting Hemagglutinin, Neuraminidase, and Nucleoprotein

Influenza A virus (IAV-A) remains a major global health threat, responsible for seasonal epidemics and significant mortality, with estimates ranging from 290 000 to 650 000 deaths annually, due to respiratory complications. The virus is highly mutable, which complicates treatment options and contributes to the emergence of drug resistance. IAV-A's pathogenicity is largely driven by two key surface proteins, hemagglutinin (HA), neuraminidase (NA) and nucleoprotein (NP), which facilitate viral entry and spread within the host. Despite the availability of antiviral treatments such as Oseltamivir, Zanamivir, and more recently, Baloxavir Marboxil, their efficacy is limited by resistance, side effects, and the rapid mutation of the virus. Given these challenges, there is an urgent need for new therapeutic strategies. Drug repositioning offers a promising solution by identifying new uses for existing, approved drugs, thereby reducing the development time and cost. This study aimed to explore the potential of 31 drugs from various therapeutic classes, including FDA-approved compounds, as candidates for treating influenza A (H3N2), with a particular focus on targeting NA, HA, and NP proteins. Through in silico molecular docking studies, we analyzed the energy scores between these drugs and target proteins. ADMET predictions were conducted to evaluate the pharmacokinetics, safety, and bioavailability of the best drug candidates. Following this, molecular dynamics simulations were performed to assess the stability of the drug-protein complexes over time. Finally, free-energy calculations were carried out to assess binding affinities, ranking the drugs based on their potential inhibitory effects and providing critical insights for their further development as antiviral treatments. This integrated computational approach offers a faster, cost-effective pathway for discovering novel influenza therapies with significant implications for pandemic preparedness.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-10-18
DOI
https://doi.org/10.1021/acs.jcim.5c00992
Citations
1
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Drug Repurposing for Influenza A (H3N2) Virus: A Computational Approach to Identifying Commercialized Drugs Targeting Hemagglutinin, Neuraminidase, and Nucleoprotein

Hassan Nour, Kasim Sakran Abass, Mhammed El Kouali, Samir Chtita et al.
1 citations
Journal of Chemical Information and Modeling
Influenza Virus Research Studies
1.35
article

Exploring Drug Repurposing for Influenza A (H3N2) Virus: A Computational Approach to Identifying Commercialized Drugs Targeting Hemagglutinin, Neuraminidase, and Nucleoprotein

Hassan Nour, Kasim Sakran Abass, Mhammed El Kouali, Samir Chtita, Nouh Mounadi
article en
1 citations

Abstract

Influenza A virus (IAV-A) remains a major global health threat, responsible for seasonal epidemics and significant mortality, with estimates ranging from 290 000 to 650 000 deaths annually, due to respiratory complications. The virus is highly mutable, which complicates treatment options and contributes to the emergence of drug resistance. IAV-A's pathogenicity is largely driven by two key surface proteins, hemagglutinin (HA), neuraminidase (NA) and nucleoprotein (NP), which facilitate viral entry and spread within the host. Despite the availability of antiviral treatments such as Oseltamivir, Zanamivir, and more recently, Baloxavir Marboxil, their efficacy is limited by resistance, side effects, and the rapid mutation of the virus. Given these challenges, there is an urgent need for new therapeutic strategies. Drug repositioning offers a promising solution by identifying new uses for existing, approved drugs, thereby reducing the development time and cost. This study aimed to explore the potential of 31 drugs from various therapeutic classes, including FDA-approved compounds, as candidates for treating influenza A (H3N2), with a particular focus on targeting NA, HA, and NP proteins. Through in silico molecular docking studies, we analyzed the energy scores between these drugs and target proteins. ADMET predictions were conducted to evaluate the pharmacokinetics, safety, and bioavailability of the best drug candidates. Following this, molecular dynamics simulations were performed to assess the stability of the drug-protein complexes over time. Finally, free-energy calculations were carried out to assess binding affinities, ranking the drugs based on their potential inhibitory effects and providing critical insights for their further development as antiviral treatments. This integrated computational approach offers a faster, cost-effective pathway for discovering novel influenza therapies with significant implications for pandemic preparedness.

Journal of Chemical Information and ModelingVol. 65(21)
University of Kirkuk (IQ), MRC Laboratory of Molecular Biology (GB), Czech Academy of Sciences, Institute of Physiology (CZ), University of Hassan II Casablanca (MA)
Openalex Percentile: Top 15%
Influenza Virus Research Studies
1.35
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.