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

生物信息学 药物重新定位 神经氨酸酶 药品 核蛋白 计算生物学 药物开发 神经氨酸酶抑制剂 金刚乙胺 血凝素(流感) 甲型流感病毒 生物 药物发现 病毒学 抗病毒药物 可药性 扎那米韦 病毒 重新调整用途 医学 批准的药物 H5N1亚型流感病毒 对接(动物) 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 药理学 洛比那韦 金刚烷胺 2019年冠状病毒病(COVID-19) 法维皮拉维 大流行 卤凡特林 生物信息学 抗病毒治疗 季节性流感
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 被引量:1
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
刚刚
端庄沉鱼发布了新的文献求助10
1秒前
01完成签到,获得积分10
1秒前
DW应助博文采纳,获得10
1秒前
爱生活爱学习完成签到,获得积分10
1秒前
MOMO完成签到,获得积分10
1秒前
隐形曼青应助盛夏采纳,获得10
2秒前
葛觅荷发布了新的文献求助10
3秒前
3秒前
可爱的函函应助WRUM采纳,获得10
4秒前
完美世界应助HOLLY采纳,获得10
4秒前
michen发布了新的文献求助10
4秒前
guzhiwen完成签到,获得积分10
4秒前
4秒前
ljg完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
碧蓝铁身发布了新的文献求助10
5秒前
ilmadf发布了新的文献求助10
5秒前
chenxz发布了新的文献求助10
5秒前
薛伟锋发布了新的文献求助20
6秒前
曲绫完成签到 ,获得积分10
6秒前
6秒前
Films完成签到,获得积分20
8秒前
迷路寄云完成签到,获得积分10
8秒前
8秒前
共享精神应助科研文献采纳,获得30
8秒前
ssdsdsd完成签到 ,获得积分20
9秒前
橙子完成签到,获得积分10
9秒前
清秀的谷冬完成签到,获得积分10
9秒前
GZU_Bluest_LJS完成签到 ,获得积分10
9秒前
Akim应助开心的耳机采纳,获得10
9秒前
9秒前
HEL完成签到,获得积分10
10秒前
虚幻雨发布了新的文献求助10
11秒前
贾西贝发布了新的文献求助10
11秒前
11秒前
11秒前
哈哈哈哈怪完成签到,获得积分20
12秒前
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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774451
求助须知:如何正确求助?哪些是违规求助? 9316568
关于积分的说明 20351381
捐赠科研通 7360590
什么是DOI,文献DOI怎么找? 3317682
关于科研通互助平台的介绍 2465975
邀请新用户注册赠送积分活动 2332835