抑制 EphA2 的计算见解:整合基于结构的虚拟筛选、对接和分子动力学模拟以发现小分子。

IF 1.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Mohd Nehal, Jahanarah Khatoon, Salman Akhtar, Mohd Kalim Ahmad Khan
{"title":"抑制 EphA2 的计算见解:整合基于结构的虚拟筛选、对接和分子动力学模拟以发现小分子。","authors":"Mohd Nehal, Jahanarah Khatoon, Salman Akhtar, Mohd Kalim Ahmad Khan","doi":"10.14715/cmb/2024.70.8.3","DOIUrl":null,"url":null,"abstract":"<p><p>Elevated expression and dysfunction of ephrin type A receptor-2 (EphA2) have been implicated in the initiation and progression of cancer, metastasis, and unfavorable clinical outcomes. A promising strategy to counteract this dysregulation involves the development of small-molecule inhibitors that target EphA2. Our study focuses on this objective. To initiate Structure-Based Virtual Screening (SBVS), we leveraged an advanced online platform, the Mcule database, which houses an extensive collection of millions of chemical compounds. Using drug similarity filters, we efficiently identified ten thousand potential hits. By further refining the selection through toxicity profiling, we prudently narrowed down the candidates to a more manageable set of 100 molecules. Using the Mcule Single Click, DockThor, and SwissDock tools, we conducted multi-scoring docking assessments of thirty-seven compounds that satisfied the ADME standards. A comprehensive evaluation of Gibbs binding free energy terms, as derived from these docking tools, facilitated the identification of top-ranking docking hits. Remarkably, among the known inhibitors, dasatinib displayed the most robust binding to EphA2 with an average ΔG of -9.0 kcal/mol. Intriguingly, alternatives have emerged in recent years. Notably, small molecules such as Mcule-1579910267 (ΔG: -9.3 kcal/mol), Mcule-1893218381 (ΔG: -9.2 kcal/mol), Mcule-3981378344 (ΔG: -9.3 kcal/mol), and Mcule-8617639093 (ΔG: -9.1 kcal/mol) exhibited a notably strong binding affinity to EphA2, rivaling dasatinib. Subsequently, the four leading ligands along with dasatinib were selected for the MD simulations. Our rigorous analyses during the MD simulation phase encompassing RMSD, RMSF, SASA, ΔGsolv, and Rg underscored the favorable stability of Mcule-8617639093. This compelling evidence ultimately signifies the potential for selective EphA2 inhibition.</p>","PeriodicalId":9802,"journal":{"name":"Cellular and molecular biology","volume":"70 8","pages":"16-31"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational insights into inhibiting EphA2: Integrating structure-based virtual screening, docking, and molecular dynamics simulations for small molecule discovery.\",\"authors\":\"Mohd Nehal, Jahanarah Khatoon, Salman Akhtar, Mohd Kalim Ahmad Khan\",\"doi\":\"10.14715/cmb/2024.70.8.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Elevated expression and dysfunction of ephrin type A receptor-2 (EphA2) have been implicated in the initiation and progression of cancer, metastasis, and unfavorable clinical outcomes. A promising strategy to counteract this dysregulation involves the development of small-molecule inhibitors that target EphA2. Our study focuses on this objective. To initiate Structure-Based Virtual Screening (SBVS), we leveraged an advanced online platform, the Mcule database, which houses an extensive collection of millions of chemical compounds. Using drug similarity filters, we efficiently identified ten thousand potential hits. By further refining the selection through toxicity profiling, we prudently narrowed down the candidates to a more manageable set of 100 molecules. Using the Mcule Single Click, DockThor, and SwissDock tools, we conducted multi-scoring docking assessments of thirty-seven compounds that satisfied the ADME standards. A comprehensive evaluation of Gibbs binding free energy terms, as derived from these docking tools, facilitated the identification of top-ranking docking hits. Remarkably, among the known inhibitors, dasatinib displayed the most robust binding to EphA2 with an average ΔG of -9.0 kcal/mol. Intriguingly, alternatives have emerged in recent years. Notably, small molecules such as Mcule-1579910267 (ΔG: -9.3 kcal/mol), Mcule-1893218381 (ΔG: -9.2 kcal/mol), Mcule-3981378344 (ΔG: -9.3 kcal/mol), and Mcule-8617639093 (ΔG: -9.1 kcal/mol) exhibited a notably strong binding affinity to EphA2, rivaling dasatinib. Subsequently, the four leading ligands along with dasatinib were selected for the MD simulations. Our rigorous analyses during the MD simulation phase encompassing RMSD, RMSF, SASA, ΔGsolv, and Rg underscored the favorable stability of Mcule-8617639093. This compelling evidence ultimately signifies the potential for selective EphA2 inhibition.</p>\",\"PeriodicalId\":9802,\"journal\":{\"name\":\"Cellular and molecular biology\",\"volume\":\"70 8\",\"pages\":\"16-31\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cellular and molecular biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.14715/cmb/2024.70.8.3\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cellular and molecular biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.14715/cmb/2024.70.8.3","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

Ephrin A型受体-2(EphA2)的表达升高和功能失调与癌症的发生、发展、转移和不利的临床结果有关。对抗这种失调的一种有希望的策略是开发靶向 EphA2 的小分子抑制剂。我们的研究正是围绕这一目标展开的。为了启动基于结构的虚拟筛选(SBVS),我们利用了一个先进的在线平台--Mcule 数据库,该数据库广泛收集了数百万种化合物。利用药物相似性过滤器,我们有效地确定了上万个潜在的筛选结果。通过毒性分析进一步细化筛选,我们审慎地将候选化合物的范围缩小到了 100 个分子。利用 Mcule Single Click、DockThor 和 SwissDock 工具,我们对符合 ADME 标准的 37 种化合物进行了多评分对接评估。通过对这些对接工具得出的吉布斯结合自由能进行综合评估,我们确定了排名靠前的对接结果。值得注意的是,在已知的抑制剂中,达沙替尼与 EphA2 的结合力最强,平均 ΔG 为 -9.0 kcal/mol。有趣的是,近年来出现了一些替代品。值得注意的是,Mcule-1579910267(ΔG:-9.3 kcal/mol)、Mcule-1893218381(ΔG:-9.2 kcal/mol)、Mcule-3981378344(ΔG:-9.3 kcal/mol)和Mcule-8617639093(ΔG:-9.1 kcal/mol)等小分子与 EphA2 的结合亲和力明显较强,可与达沙替尼媲美。随后,我们选择了这四种主要配体和达沙替尼进行 MD 模拟。我们在 MD 模拟阶段进行了严格的分析,包括 RMSD、RMSF、SASA、ΔGsolv 和 Rg,结果表明 Mcule-8617639093 具有良好的稳定性。这些令人信服的证据最终表明,Mcule-8617639093 具有选择性抑制 EphA2 的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational insights into inhibiting EphA2: Integrating structure-based virtual screening, docking, and molecular dynamics simulations for small molecule discovery.

Elevated expression and dysfunction of ephrin type A receptor-2 (EphA2) have been implicated in the initiation and progression of cancer, metastasis, and unfavorable clinical outcomes. A promising strategy to counteract this dysregulation involves the development of small-molecule inhibitors that target EphA2. Our study focuses on this objective. To initiate Structure-Based Virtual Screening (SBVS), we leveraged an advanced online platform, the Mcule database, which houses an extensive collection of millions of chemical compounds. Using drug similarity filters, we efficiently identified ten thousand potential hits. By further refining the selection through toxicity profiling, we prudently narrowed down the candidates to a more manageable set of 100 molecules. Using the Mcule Single Click, DockThor, and SwissDock tools, we conducted multi-scoring docking assessments of thirty-seven compounds that satisfied the ADME standards. A comprehensive evaluation of Gibbs binding free energy terms, as derived from these docking tools, facilitated the identification of top-ranking docking hits. Remarkably, among the known inhibitors, dasatinib displayed the most robust binding to EphA2 with an average ΔG of -9.0 kcal/mol. Intriguingly, alternatives have emerged in recent years. Notably, small molecules such as Mcule-1579910267 (ΔG: -9.3 kcal/mol), Mcule-1893218381 (ΔG: -9.2 kcal/mol), Mcule-3981378344 (ΔG: -9.3 kcal/mol), and Mcule-8617639093 (ΔG: -9.1 kcal/mol) exhibited a notably strong binding affinity to EphA2, rivaling dasatinib. Subsequently, the four leading ligands along with dasatinib were selected for the MD simulations. Our rigorous analyses during the MD simulation phase encompassing RMSD, RMSF, SASA, ΔGsolv, and Rg underscored the favorable stability of Mcule-8617639093. This compelling evidence ultimately signifies the potential for selective EphA2 inhibition.

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
Cellular and molecular biology
Cellular and molecular biology 生物-生化与分子生物学
CiteScore
1.60
自引率
12.50%
发文量
331
期刊介绍: Cellular and Molecular Biology publishes original articles, reviews, short communications, methods, meta-analysis notes, letters to editor and comments in the interdisciplinary science of Cellular and Molecular Biology linking and integrating molecular biology, biophysics, biochemistry, enzymology, physiology and biotechnology in a dynamic cell and tissue biology environment, applied to human, animals, plants tissues as well to microbial and viral cells. The journal Cellular and Molecular Biology is therefore open to intense interdisciplinary exchanges in medical, dental, veterinary, pharmacological, botanical and biological researches for the demonstration of these multiple links.
×
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