Molecular docking, network pharmacology, and QSAR modelling studies of benzo[c]phenanthridines - novel antileishmaniasis agents.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2024-10-21 DOI:10.1080/07391102.2024.2417226
David Kikaawa, E Vadivel
{"title":"Molecular docking, network pharmacology, and QSAR modelling studies of benzo[c]phenanthridines - novel antileishmaniasis agents.","authors":"David Kikaawa, E Vadivel","doi":"10.1080/07391102.2024.2417226","DOIUrl":null,"url":null,"abstract":"<p><p>Leishmaniasis treatment primarily relies on chemotherapy due to lack of vaccines. However, the low efficacy, parasite resistance, and toxicity associated with existing drugs necessitate the development of effective and safer therapies. Fuchino <i>et al</i>. reported promising leishmanicidal activity in a series of benzo[c]phenanthridines against <i>L. major</i> promastigotes. To progress these compounds towards drug development, it is crucial to understand their molecular targets, mechanisms of action, binding interactions, and structural requirements. In this research, molecular docking, network pharmacology, 2D-QSAR, and 3D-QSAR CoMFA studies were performed on 30 benzo[c]phenanthridines. Docking analysis showed that all molecules had a strong binding affinity to <i>L. major</i>-nucleoside diphosphate kinase (NDPK) compared to the other targets. 10-isopropoxy sanguinarine had the highest binding affinity (-10.6 kcal/mol) and formed ionic and hydrophobic interactions. Network pharmacology analysis of the most active compounds identified serine/threonine-protein kinase Mtor as a potential antileishmaniasis target in humans for benzo[c]phenanthridines. This was confirmed with high-affinity scores > -7.0 kcal/mol for all the compounds docked. GO and KEGG pathway enrichment identified Reg. of fatty acid oxidation (BP), TORC1 complex (CC), RNA polymerase III type 1 promoter sequence-specific DNA binding (MF), and Acute myeloid leukemia (KEGG pathway) to be highly enriched with the hub genes. Both 2D and 3D-QSAR CoMFA models satisfied the internal and external validation tests as follows: 2D-QSAR: R<sup>2</sup><sub>Train</sub> = 0.9040, Q<sup>2</sup>cv = 0.8648, R<sup>2</sup>adj = 0.8838, and R<sup>2</sup><sub>Test</sub> = 0.8740; and 3D-QSAR: r<sup>2</sup> = 0.998, q<sup>2</sup> = 0.526, and SDEP = 0.856. The molecules can be practically evaluated as superior antileishmaniasis agents.</p>","PeriodicalId":15272,"journal":{"name":"Journal of Biomolecular Structure & Dynamics","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomolecular Structure & Dynamics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/07391102.2024.2417226","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Leishmaniasis treatment primarily relies on chemotherapy due to lack of vaccines. However, the low efficacy, parasite resistance, and toxicity associated with existing drugs necessitate the development of effective and safer therapies. Fuchino et al. reported promising leishmanicidal activity in a series of benzo[c]phenanthridines against L. major promastigotes. To progress these compounds towards drug development, it is crucial to understand their molecular targets, mechanisms of action, binding interactions, and structural requirements. In this research, molecular docking, network pharmacology, 2D-QSAR, and 3D-QSAR CoMFA studies were performed on 30 benzo[c]phenanthridines. Docking analysis showed that all molecules had a strong binding affinity to L. major-nucleoside diphosphate kinase (NDPK) compared to the other targets. 10-isopropoxy sanguinarine had the highest binding affinity (-10.6 kcal/mol) and formed ionic and hydrophobic interactions. Network pharmacology analysis of the most active compounds identified serine/threonine-protein kinase Mtor as a potential antileishmaniasis target in humans for benzo[c]phenanthridines. This was confirmed with high-affinity scores > -7.0 kcal/mol for all the compounds docked. GO and KEGG pathway enrichment identified Reg. of fatty acid oxidation (BP), TORC1 complex (CC), RNA polymerase III type 1 promoter sequence-specific DNA binding (MF), and Acute myeloid leukemia (KEGG pathway) to be highly enriched with the hub genes. Both 2D and 3D-QSAR CoMFA models satisfied the internal and external validation tests as follows: 2D-QSAR: R2Train = 0.9040, Q2cv = 0.8648, R2adj = 0.8838, and R2Test = 0.8740; and 3D-QSAR: r2 = 0.998, q2 = 0.526, and SDEP = 0.856. The molecules can be practically evaluated as superior antileishmaniasis agents.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
苯并[c]菲啶类化合物--新型抗利什曼病药的分子对接、网络药理学和 QSAR 模型研究。
由于缺乏疫苗,利什曼病的治疗主要依靠化疗。然而,现有药物疗效低、寄生虫抗药性强、毒性大,因此有必要开发更有效、更安全的疗法。Fuchino 等人报告了一系列苯并[c]菲啶类化合物对大鼠原虫具有良好的利什曼杀灭活性。为了推动这些化合物的药物开发,了解它们的分子靶点、作用机制、结合相互作用和结构要求至关重要。本研究对 30 种苯并[c]菲啶类化合物进行了分子对接、网络药理学、二维-QSAR 和三维-QSAR CoMFA 研究。对接分析表明,与其他靶标相比,所有分子与 L. major 核苷二磷酸激酶(NDPK)都有很强的结合亲和力。10-isopropoxy sanguinarine 的结合亲和力最高(-10.6 kcal/mol),并形成离子和疏水相互作用。对最具活性的化合物进行的网络药理学分析发现,丝氨酸/苏氨酸蛋白激酶 Mtor 是苯并[c]菲啶类药物潜在的人体抗利什曼病靶点。所有对接化合物的高亲和力得分大于-7.0 kcal/mol,证实了这一点。通过 GO 和 KEGG 通路富集发现,脂肪酸氧化调节(BP)、TORC1 复合物(CC)、RNA 聚合酶 III 型 1 启动子序列特异性 DNA 结合(MF)和急性髓系白血病(KEGG 通路)与枢纽基因高度富集。二维和三维 QSAR CoMFA 模型均通过了如下内部和外部验证测试:二维-QSAR:R2Train = 0.9040,Q2cv = 0.8648,R2adj = 0.8838,R2Test = 0.8740;三维-QSAR:R2 = 0.998,Q2 = 0.526,SDEP = 0.856。这些分子可被实际评估为优良的抗利什曼病药。
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 去求助
来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
期刊最新文献
The pharmacological actions of Danzhi-xiaoyao-San on depression involve lysophosphatidic acid and microbiota-gut-brain axis: novel insights from a systems pharmacology analysis of a double-blind, randomized, placebo-controlled clinical trial. Broadening the scope of WEE1 inhibitors: identifying novel drug candidates via computational approaches and drug repurposing. Molecularly imprinted polymer-based sensors for identification volatile compounds in pharmaceutical products: in silico rational design. Computational insights into pediatric adenovirus inhibitors: in silico strategies for drug repurposing. Predicting the changes in neutralizing antibody interaction with G protein derived from Bangladesh isolates of Nipah virus: molecular dynamics based approach.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1