揭示有效的抗利什曼原虫制剂:针对多诺瓦利什曼原虫无尾线虫的多种化学支架的QSAR探索。

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
W A Choudhury, R Nandi, A Borah, D Kumar
{"title":"揭示有效的抗利什曼原虫制剂:针对多诺瓦利什曼原虫无尾线虫的多种化学支架的QSAR探索。","authors":"W A Choudhury, R Nandi, A Borah, D Kumar","doi":"10.1080/1062936X.2025.2529866","DOIUrl":null,"url":null,"abstract":"<p><p>Leishmaniasis, caused by <i>Leishmania</i> spp. remains a major global health concern due to drug resistance, toxicity, non-specificity, and prolonged treatments. Addressing the need for new therapeutics, we investigated a range of bioactive compounds, including chalcones, pyrimidines, quinolines, azoles, sulphonamides, flavonoids, and quinazoline derivatives, targeting <i>Leishmania donovani</i> amastigotes. Key molecular descriptors influencing anti-leishmanial activity were identified using LASSO and multiple linear regression (MLR), yielding robust QSAR models (<i>r</i><sup>2</sup> > 0.84) validated through rigorous statistical analysis. Virtual screening and scaffold-hopping strategies led to the design of 12 novel compounds, among which six; mainly benzothiazole and benzoxazole derivatives exhibited clear predicted pIC₅₀ values and promising ADMET profiles. Quinoline-based compounds showed moderate activity, consistent with prior experimental data. Structural analysis revealed the significance of quinoline rings linked to thiazole or benzoxazole moieties, with modifications like alkyl halides and methyl groups enhancing bioactivity. Further molecular docking against <i>Leishmania donovani</i> N-myristoyltransferase (Ld-NMT) and sterol 14-α demethylase CYP51 demonstrated strong binding affinities with compounds N8, N9, and N11. Structure-based similarity searches using ChEMBL confirmed selective bioactivity and low predicted cytotoxicity, supporting minimal off-target interactions. These findings present a computationally guided framework for developing effective, targeted anti-leishmanial agents.</p>","PeriodicalId":21446,"journal":{"name":"SAR and QSAR in Environmental Research","volume":" ","pages":"507-535"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling potent anti-leishmanial agents: a QSAR exploration of diverse chemical scaffolds targeting <i>Leishmania donovani</i> amastigotes.\",\"authors\":\"W A Choudhury, R Nandi, A Borah, D Kumar\",\"doi\":\"10.1080/1062936X.2025.2529866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Leishmaniasis, caused by <i>Leishmania</i> spp. remains a major global health concern due to drug resistance, toxicity, non-specificity, and prolonged treatments. Addressing the need for new therapeutics, we investigated a range of bioactive compounds, including chalcones, pyrimidines, quinolines, azoles, sulphonamides, flavonoids, and quinazoline derivatives, targeting <i>Leishmania donovani</i> amastigotes. Key molecular descriptors influencing anti-leishmanial activity were identified using LASSO and multiple linear regression (MLR), yielding robust QSAR models (<i>r</i><sup>2</sup> > 0.84) validated through rigorous statistical analysis. Virtual screening and scaffold-hopping strategies led to the design of 12 novel compounds, among which six; mainly benzothiazole and benzoxazole derivatives exhibited clear predicted pIC₅₀ values and promising ADMET profiles. Quinoline-based compounds showed moderate activity, consistent with prior experimental data. Structural analysis revealed the significance of quinoline rings linked to thiazole or benzoxazole moieties, with modifications like alkyl halides and methyl groups enhancing bioactivity. Further molecular docking against <i>Leishmania donovani</i> N-myristoyltransferase (Ld-NMT) and sterol 14-α demethylase CYP51 demonstrated strong binding affinities with compounds N8, N9, and N11. Structure-based similarity searches using ChEMBL confirmed selective bioactivity and low predicted cytotoxicity, supporting minimal off-target interactions. These findings present a computationally guided framework for developing effective, targeted anti-leishmanial agents.</p>\",\"PeriodicalId\":21446,\"journal\":{\"name\":\"SAR and QSAR in Environmental Research\",\"volume\":\" \",\"pages\":\"507-535\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAR and QSAR in Environmental Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/1062936X.2025.2529866\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAR and QSAR in Environmental Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1062936X.2025.2529866","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/25 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

由利什曼原虫引起的利什曼病,由于耐药、毒性、非特异性和长期治疗,仍然是一个主要的全球卫生问题。为了满足对新疗法的需求,我们研究了一系列生物活性化合物,包括查尔酮、嘧啶、喹啉、唑类、磺胺类、类黄酮和喹唑啉衍生物,以治疗多诺瓦利什曼原虫。利用LASSO和多元线性回归(MLR)鉴定了影响抗利什曼原虫活性的关键分子描述子,得到了经过严格统计分析验证的稳健的QSAR模型(r2 > 0.84)。虚拟筛选和跳架策略共设计了12个新化合物,其中6个;主要是苯并噻唑和苯并恶唑衍生物具有明确的预测pIC₅0值和有希望的ADMET剖面。喹啉类化合物表现出适度的活性,与先前的实验数据一致。结构分析表明,喹啉环与噻唑或苯并恶唑基团相连,烷基卤化物和甲基等修饰增强了生物活性。进一步对多诺瓦利什曼原虫n -肉豆油酰基转移酶(Ld-NMT)和甾醇14-α去甲基化酶CYP51进行分子对接,发现与化合物N8、N9和N11具有较强的结合亲和力。使用ChEMBL进行基于结构的相似性搜索,证实了选择性生物活性和低预测的细胞毒性,支持最小的脱靶相互作用。这些发现为开发有效的、有针对性的抗利什曼药物提供了一个计算指导框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling potent anti-leishmanial agents: a QSAR exploration of diverse chemical scaffolds targeting Leishmania donovani amastigotes.

Leishmaniasis, caused by Leishmania spp. remains a major global health concern due to drug resistance, toxicity, non-specificity, and prolonged treatments. Addressing the need for new therapeutics, we investigated a range of bioactive compounds, including chalcones, pyrimidines, quinolines, azoles, sulphonamides, flavonoids, and quinazoline derivatives, targeting Leishmania donovani amastigotes. Key molecular descriptors influencing anti-leishmanial activity were identified using LASSO and multiple linear regression (MLR), yielding robust QSAR models (r2 > 0.84) validated through rigorous statistical analysis. Virtual screening and scaffold-hopping strategies led to the design of 12 novel compounds, among which six; mainly benzothiazole and benzoxazole derivatives exhibited clear predicted pIC₅₀ values and promising ADMET profiles. Quinoline-based compounds showed moderate activity, consistent with prior experimental data. Structural analysis revealed the significance of quinoline rings linked to thiazole or benzoxazole moieties, with modifications like alkyl halides and methyl groups enhancing bioactivity. Further molecular docking against Leishmania donovani N-myristoyltransferase (Ld-NMT) and sterol 14-α demethylase CYP51 demonstrated strong binding affinities with compounds N8, N9, and N11. Structure-based similarity searches using ChEMBL confirmed selective bioactivity and low predicted cytotoxicity, supporting minimal off-target interactions. These findings present a computationally guided framework for developing effective, targeted anti-leishmanial agents.

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
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
×
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:604180095
Book学术官方微信