Virtual Screening and Molecular Dynamics Simulation Study of Influenza Polymerase PB2 Inhibitors

虚拟筛选 化学 分子动力学 动力学(音乐) 聚合酶 计算生物学 生物化学 生物 病毒学 物理 计算化学 声学
作者
Keli Zong,Lei Xu,Yuxin Hou,Qian Zhang,Jinjing Che,Lei Zhao,Xingzhou Li
出处
期刊:Molecules [Multidisciplinary Digital Publishing Institute]
卷期号:26 (22): 6944-6944 被引量:7
标识
DOI:10.3390/molecules26226944
摘要

Influenza A virus is the main cause of worldwide epidemics and annual influenza outbreaks in humans. In this study, a virtual screen was performed to identify compounds that interact with the PB2 cap-binding domain (CBD) of influenza A polymerase. A virtual screening workflow based on Glide docking was used to screen an internal database containing 8417 molecules, and then the output compounds were selected based on solubility, absorbance, and structural fingerprints. Of the 16 compounds selected for biological evaluation, six compounds were identified that rescued cells from H1N1 virus-mediated death at non-cytotoxic concentrations, with EC50 values ranging from 2.5-55.43 μM, and that could bind to the PB2 CBD of H1N1, with Kd values ranging from 0.081-1.53 μM. Molecular dynamics (MD) simulations of the docking complexes of our active compounds revealed that each compound had its own binding characteristics that differed from those of VX-787. Our active compounds have novel structures and unique binding modes with PB2 proteins, and are suitable to serve as lead compounds for the development of PB2 inhibitors. An analysis of the MD simulation also helped us to identify the dominant amino acid residues that play a key role in binding the ligand to PB2, suggesting that we should focus on increasing and enhancing the interaction between inhibitors and these major amino acids during lead compound optimization to obtain more active PB2 inhibitors.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
斯文败类应助kk采纳,获得10
2秒前
2秒前
3秒前
斯文败类应助彼粒星采纳,获得10
3秒前
Kirito应助缓慢的饼干采纳,获得50
3秒前
在水一方应助huapeng采纳,获得10
4秒前
5秒前
xhs12138发布了新的文献求助10
6秒前
着急的焦完成签到,获得积分10
6秒前
慧敏发布了新的文献求助10
8秒前
叶叶发布了新的文献求助10
10秒前
11秒前
着急的焦发布了新的文献求助10
11秒前
12秒前
lwroche完成签到,获得积分10
12秒前
CipherSage应助malizewski采纳,获得10
13秒前
13秒前
乐乐应助小会采纳,获得10
13秒前
zty568发布了新的文献求助10
13秒前
可以组一辈子乐队吗完成签到,获得积分10
14秒前
15秒前
16秒前
科目三应助Hitomi采纳,获得10
16秒前
风趣的黑夜完成签到 ,获得积分20
17秒前
小胡发布了新的文献求助10
18秒前
如意宛应助慧敏采纳,获得10
19秒前
Ar完成签到,获得积分10
20秒前
20秒前
20秒前
Danboard发布了新的文献求助10
20秒前
Blue发布了新的文献求助10
21秒前
DrW完成签到,获得积分10
21秒前
勤劳冰烟完成签到,获得积分10
21秒前
21秒前
wangteng发布了新的文献求助10
22秒前
Hello应助try采纳,获得10
23秒前
量子星尘发布了新的文献求助10
25秒前
hhh完成签到,获得积分20
25秒前
NexusExplorer应助齐甲雯采纳,获得10
25秒前
算命的发布了新的文献求助10
25秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III – Liver, Biliary Tract, and Pancreas, 3rd Edition 666
中学生创造性思维能力自评测验的编制 500
Social Epistemology: The Niches for Knowledge and Ignorance 500
优秀运动员运动寿命的人文社会学因素研究 500
Medicine and the Navy, 1200-1900: 1815-1900 420
Introducing Sociology Using the Stuff of Everyday Life 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4247981
求助须知:如何正确求助?哪些是违规求助? 3781089
关于积分的说明 11871237
捐赠科研通 3434022
什么是DOI,文献DOI怎么找? 1884739
邀请新用户注册赠送积分活动 936340
科研通“疑难数据库(出版商)”最低求助积分说明 842216