Binding mode analysis of anti-influenza drugs in H1N1 (2009) and H5N1 influenza A virus and designing of potential H1N1 inhibitors.

Q4 Pharmacology, Toxicology and Pharmaceutics
Kh Dhanachandra Singh, Palani Kirubakaran, Selvaraman Nagamani, Muthusamy Karthikeyan
{"title":"Binding mode analysis of anti-influenza drugs in H1N1 (2009) and H5N1 influenza A virus and designing of potential H1N1 inhibitors.","authors":"Kh Dhanachandra Singh,&nbsp;Palani Kirubakaran,&nbsp;Selvaraman Nagamani,&nbsp;Muthusamy Karthikeyan","doi":"10.1504/IJCBDD.2015.068753","DOIUrl":null,"url":null,"abstract":"<p><p>The main goal of this study is to understand the molecular-level interactions of neuraminidase inhibitor. The molecular docking, molecular dynamics and binding energy calculation analyses were carried out and the results revealed that the 150-cavitiy in the active site may play an important role in binding of drugs. Free energy calculations revealed that electrostatic interaction is more favourable for Oseltamivir interaction with H1N1 and van der Waals interaction is more favourable for H5N1, whereas Zanamivir favours the electrostatic interaction in both the strains (H1N1 and H5N1). Energy-optimised pharmacophore mapping was created using Oseltamivir drug. The pharmacophore model contained two hydrogen-bond acceptor and two hydrogen bond donor sites. Using these pharmacophore features, we screened a compound database to find a potential ligand that could inhibit the H1N1 protein. The current research will pave the way to find potent neuraminidase inhibitors against H1N1 (2009) strain. </p>","PeriodicalId":39227,"journal":{"name":"International Journal of Computational Biology and Drug Design","volume":"8 1","pages":"1-18"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJCBDD.2015.068753","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Biology and Drug Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCBDD.2015.068753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2015/4/13 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 2

Abstract

The main goal of this study is to understand the molecular-level interactions of neuraminidase inhibitor. The molecular docking, molecular dynamics and binding energy calculation analyses were carried out and the results revealed that the 150-cavitiy in the active site may play an important role in binding of drugs. Free energy calculations revealed that electrostatic interaction is more favourable for Oseltamivir interaction with H1N1 and van der Waals interaction is more favourable for H5N1, whereas Zanamivir favours the electrostatic interaction in both the strains (H1N1 and H5N1). Energy-optimised pharmacophore mapping was created using Oseltamivir drug. The pharmacophore model contained two hydrogen-bond acceptor and two hydrogen bond donor sites. Using these pharmacophore features, we screened a compound database to find a potential ligand that could inhibit the H1N1 protein. The current research will pave the way to find potent neuraminidase inhibitors against H1N1 (2009) strain.

抗流感药物在H1N1(2009)和H5N1甲型流感病毒中的结合模式分析及潜在H1N1抑制剂的设计
本研究的主要目的是了解神经氨酸酶抑制剂的分子水平相互作用。进行分子对接、分子动力学和结合能计算分析,结果显示活性位点的150空腔可能在药物结合中发挥重要作用。自由能计算表明,静电相互作用更有利于奥司他韦与H1N1的相互作用,范德华相互作用更有利于H5N1的相互作用,而扎那米韦在两种毒株(H1N1和H5N1)中都有利于静电相互作用。利用奥司他韦建立能量优化药效团图谱。药效团模型包含两个氢键受体和两个氢键给体位点。利用这些药效团的特征,我们筛选了一个化合物数据库,以找到一种可能抑制H1N1蛋白的配体。目前的研究将为找到抗H1N1(2009)毒株的有效神经氨酸酶抑制剂铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信