以 SARS-CoV2 穗状糖蛋白为靶标:植物化合物结合相互作用的分子洞察力 - 室内分子对接。

IF 3.6 4区 医学 Q2 ENGINEERING, BIOMEDICAL
K Saravanan, S Elavarasi, G Revathi, P Karuppannan, M Ashokkumar, C Muthusamy, A Ram Kumar
{"title":"以 SARS-CoV2 穗状糖蛋白为靶标:植物化合物结合相互作用的分子洞察力 - 室内分子对接。","authors":"K Saravanan, S Elavarasi, G Revathi, P Karuppannan, M Ashokkumar, C Muthusamy, A Ram Kumar","doi":"10.1080/09205063.2024.2399395","DOIUrl":null,"url":null,"abstract":"<p><p>This study utilized small molecular characterization and docking study to evaluate the binding affinity of seven antiviral phytocompounds with the SARS CoV-2 variants (SARS-CoV-2 Spike Glycoprotein, SARS-CoV-2 Spike Protein Variant in 1-RBD, Alpha Variant SARS-CoV2- Spike Protein). The results revealed that five of seven compounds, possesses excellent drug lead property reveled through in-silico ADMET analysis. In addition, six of seven except D-Glucosamine, exhibited excellent binding affinity. Six ligands possess significant binding affinity towards SARS-CoV-2 variants 6VXX, 7LWV and 7R13, which is certainly greater than Remdesivir. Fagaronine found to be the best drug candidate against SARS-CoV-2 variants, It was found that -7.4, -5.6 and -6.3 is the docking score respectively. Aranotin, Beta aescin, Gliotoxin, and Fagaronine formed hydrogen bonds with specific amino acids and exhibited significant binding interactions. These findings suggest that these phytocompounds could be promising candidates for developing antiviral therapies against SARS-CoV-2. Moreover, the study underscores the importance of molecular docking in understanding protein-ligand interactions and its role in drug discovery. The documented pharmacological properties of these compounds in the literature further support their potential therapeutic relevance in various diseases.</p>","PeriodicalId":15195,"journal":{"name":"Journal of Biomaterials Science, Polymer Edition","volume":" ","pages":"1-18"},"PeriodicalIF":3.6000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions - <i>in-silico</i> molecular docking.\",\"authors\":\"K Saravanan, S Elavarasi, G Revathi, P Karuppannan, M Ashokkumar, C Muthusamy, A Ram Kumar\",\"doi\":\"10.1080/09205063.2024.2399395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study utilized small molecular characterization and docking study to evaluate the binding affinity of seven antiviral phytocompounds with the SARS CoV-2 variants (SARS-CoV-2 Spike Glycoprotein, SARS-CoV-2 Spike Protein Variant in 1-RBD, Alpha Variant SARS-CoV2- Spike Protein). The results revealed that five of seven compounds, possesses excellent drug lead property reveled through in-silico ADMET analysis. In addition, six of seven except D-Glucosamine, exhibited excellent binding affinity. Six ligands possess significant binding affinity towards SARS-CoV-2 variants 6VXX, 7LWV and 7R13, which is certainly greater than Remdesivir. Fagaronine found to be the best drug candidate against SARS-CoV-2 variants, It was found that -7.4, -5.6 and -6.3 is the docking score respectively. Aranotin, Beta aescin, Gliotoxin, and Fagaronine formed hydrogen bonds with specific amino acids and exhibited significant binding interactions. These findings suggest that these phytocompounds could be promising candidates for developing antiviral therapies against SARS-CoV-2. Moreover, the study underscores the importance of molecular docking in understanding protein-ligand interactions and its role in drug discovery. The documented pharmacological properties of these compounds in the literature further support their potential therapeutic relevance in various diseases.</p>\",\"PeriodicalId\":15195,\"journal\":{\"name\":\"Journal of Biomaterials Science, Polymer Edition\",\"volume\":\" \",\"pages\":\"1-18\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biomaterials Science, Polymer Edition\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/09205063.2024.2399395\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomaterials Science, Polymer Edition","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/09205063.2024.2399395","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

摘要

本研究利用小分子表征和对接研究评估了七种抗病毒植物化合物与 SARS CoV-2 变异体(SARS-CoV-2 Spike 糖蛋白、SARS-CoV-2 Spike 蛋白 1-RBD 变异体、SARS-CoV-2 Spike 蛋白 Alpha 变异体)的结合亲和力。研究结果表明,通过分子内 ADMET 分析,7 个化合物中有 5 个具有极佳的药物先导性。此外,除 D-氨基葡萄糖外,其他七种化合物中有六种表现出极佳的结合亲和力。六种配体对 SARS-CoV-2 变体 6VXX、7LWV 和 7R13 具有明显的结合亲和力,其结合亲和力肯定高于雷米地西韦。结果发现,Fagaronine 是抗 SARS-CoV-2 变异株的最佳候选药物,其对接得分分别为-7.4、-5.6 和-6.3。Aranotin、Beta aescin、Gliotoxin 和 Fagaronine 与特定氨基酸形成氢键,并表现出显著的结合相互作用。这些研究结果表明,这些植物化合物有望成为开发 SARS-CoV-2 抗病毒疗法的候选化合物。此外,这项研究还强调了分子对接在理解蛋白质-配体相互作用方面的重要性及其在药物发现中的作用。文献中记载的这些化合物的药理特性进一步证明了它们对各种疾病的潜在治疗作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions - in-silico molecular docking.

This study utilized small molecular characterization and docking study to evaluate the binding affinity of seven antiviral phytocompounds with the SARS CoV-2 variants (SARS-CoV-2 Spike Glycoprotein, SARS-CoV-2 Spike Protein Variant in 1-RBD, Alpha Variant SARS-CoV2- Spike Protein). The results revealed that five of seven compounds, possesses excellent drug lead property reveled through in-silico ADMET analysis. In addition, six of seven except D-Glucosamine, exhibited excellent binding affinity. Six ligands possess significant binding affinity towards SARS-CoV-2 variants 6VXX, 7LWV and 7R13, which is certainly greater than Remdesivir. Fagaronine found to be the best drug candidate against SARS-CoV-2 variants, It was found that -7.4, -5.6 and -6.3 is the docking score respectively. Aranotin, Beta aescin, Gliotoxin, and Fagaronine formed hydrogen bonds with specific amino acids and exhibited significant binding interactions. These findings suggest that these phytocompounds could be promising candidates for developing antiviral therapies against SARS-CoV-2. Moreover, the study underscores the importance of molecular docking in understanding protein-ligand interactions and its role in drug discovery. The documented pharmacological properties of these compounds in the literature further support their potential therapeutic relevance in various diseases.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Biomaterials Science, Polymer Edition
Journal of Biomaterials Science, Polymer Edition 工程技术-材料科学:生物材料
CiteScore
7.10
自引率
5.60%
发文量
117
审稿时长
1.5 months
期刊介绍: The Journal of Biomaterials Science, Polymer Edition publishes fundamental research on the properties of polymeric biomaterials and the mechanisms of interaction between such biomaterials and living organisms, with special emphasis on the molecular and cellular levels. The scope of the journal includes polymers for drug delivery, tissue engineering, large molecules in living organisms like DNA, proteins and more. As such, the Journal of Biomaterials Science, Polymer Edition combines biomaterials applications in biomedical, pharmaceutical and biological fields.
×
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