亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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

作者
Nouh Mounadi,Hassan Nour,Kasim Sakran Abass,Mhammed El Kouali,Samir Chtita
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:65 (21): 11837-11848
标识
DOI:10.1021/acs.jcim.5c00992
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
麦麦爸完成签到 ,获得积分10
6秒前
淡然绝山完成签到,获得积分10
14秒前
思源应助hsuan风向仪采纳,获得20
15秒前
希望天下0贩的0应助ayun采纳,获得10
18秒前
青山完成签到 ,获得积分10
24秒前
chenyue233完成签到,获得积分10
29秒前
杨媛发布了新的文献求助10
32秒前
等待的香魔应助小么采纳,获得10
33秒前
li完成签到 ,获得积分10
36秒前
Janus完成签到,获得积分10
38秒前
46秒前
绿鬼蓝完成签到 ,获得积分10
50秒前
ayun发布了新的文献求助10
51秒前
Orange应助贝贝采纳,获得10
58秒前
俏皮元珊完成签到 ,获得积分10
58秒前
思源应助杨媛采纳,获得10
59秒前
1分钟前
Rui发布了新的文献求助10
1分钟前
苯ben完成签到,获得积分20
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
乐乐应助科研通管家采纳,获得10
1分钟前
乐乐应助科研通管家采纳,获得10
1分钟前
情怀应助科研通管家采纳,获得10
1分钟前
情怀应助科研通管家采纳,获得10
1分钟前
眯眯眼的海完成签到,获得积分10
1分钟前
1分钟前
1分钟前
贝贝发布了新的文献求助10
1分钟前
Orange应助等待的香魔采纳,获得10
1分钟前
Rui发布了新的文献求助10
1分钟前
1分钟前
淡烟流水完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Electron Energy Loss Spectroscopy 1500
Tip-in balloon grenadoplasty for uncrossable chronic total occlusions 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5788162
求助须知:如何正确求助?哪些是违规求助? 5704893
关于积分的说明 15473251
捐赠科研通 4916291
什么是DOI,文献DOI怎么找? 2646256
邀请新用户注册赠送积分活动 1593909
关于科研通互助平台的介绍 1548302