Theoretical modeling and design of some pyrazolopyrimidine derivatives as Wolbachia inhibitors, targeting lymphatic filariasis and onchocerciasis.

Fabian Audu Ugbe, Gideon Adamu Shallangwa, Adamu Uzairu, Ibrahim Abdulkadir
{"title":"Theoretical modeling and design of some pyrazolopyrimidine derivatives as <i>Wolbachia</i> inhibitors, targeting lymphatic filariasis and onchocerciasis.","authors":"Fabian Audu Ugbe,&nbsp;Gideon Adamu Shallangwa,&nbsp;Adamu Uzairu,&nbsp;Ibrahim Abdulkadir","doi":"10.1007/s40203-022-00123-3","DOIUrl":null,"url":null,"abstract":"<p><p>Lymphatic filariasis and onchocerciasis are two common filarial diseases caused by a group of parasitic nematodes called filarial worms, which play host to the bacteria organism <i>Wolbachia</i>. One good treatment approach seeks <i>Wolbachia</i> as drug target. Here, a QSAR study was conducted to investigate the anti-<i>wolbachia</i> activities (pEC<sub>50</sub>) of 52 pyrazolopyrimidine analogues, while using the built model to predict the pEC<sub>50</sub> values of the newly designed analogues. Density Functional Theory was used for the structural optimization, while the model building was based on Genetic Function Algorithm approach. The built QSAR model was validated thus: R<sup>2</sup> = 0.8104, R<sup>2</sup> <sub>adj</sub> = 0.7629, Q<sup>2</sup> <sub>cv</sub> = 0.6981, R<sup>2</sup> <sub>test</sub> = 0.7501 and cRp<sup>2</sup> = 0.7476. The predicted pEC<sub>50</sub> of all newly designed compounds were higher than that of the template (<b>43</b>). The new compounds were; observed to pass the drug-likeness criteria, uniformly distributed to the brain, and found to be non-mutagenic. Also, the new compounds and the reference drug (doxycycline), were docked onto Ovarian Tumor (OTU) deubiquitinase receptor (PDB ID: 6W9O) using iGEMDOCK tool. This protein is known to help <i>Wolbachia</i> subvert host ubiquitin signaling. The resulting binding scores of the newly designed compounds except <b>A5</b> were higher than that of doxycycline, while the protein-ligand interactions were majorly characterized by Hydrogen-bonding and hydrophobic interaction types. Therefore, the newly designed molecules could be developed as potential drug candidates for the treatment of lymphatic filariasis and onchocerciasis.</p>","PeriodicalId":13380,"journal":{"name":"In Silico Pharmacology","volume":"10 1","pages":"8"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079205/pdf/40203_2022_Article_123.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In Silico Pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40203-022-00123-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Lymphatic filariasis and onchocerciasis are two common filarial diseases caused by a group of parasitic nematodes called filarial worms, which play host to the bacteria organism Wolbachia. One good treatment approach seeks Wolbachia as drug target. Here, a QSAR study was conducted to investigate the anti-wolbachia activities (pEC50) of 52 pyrazolopyrimidine analogues, while using the built model to predict the pEC50 values of the newly designed analogues. Density Functional Theory was used for the structural optimization, while the model building was based on Genetic Function Algorithm approach. The built QSAR model was validated thus: R2 = 0.8104, R2 adj = 0.7629, Q2 cv = 0.6981, R2 test = 0.7501 and cRp2 = 0.7476. The predicted pEC50 of all newly designed compounds were higher than that of the template (43). The new compounds were; observed to pass the drug-likeness criteria, uniformly distributed to the brain, and found to be non-mutagenic. Also, the new compounds and the reference drug (doxycycline), were docked onto Ovarian Tumor (OTU) deubiquitinase receptor (PDB ID: 6W9O) using iGEMDOCK tool. This protein is known to help Wolbachia subvert host ubiquitin signaling. The resulting binding scores of the newly designed compounds except A5 were higher than that of doxycycline, while the protein-ligand interactions were majorly characterized by Hydrogen-bonding and hydrophobic interaction types. Therefore, the newly designed molecules could be developed as potential drug candidates for the treatment of lymphatic filariasis and onchocerciasis.

Abstract Image

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
针对淋巴丝虫病和盘尾丝虫病的一些吡唑嘧啶衍生物沃尔巴克氏体抑制剂的理论建模和设计。
淋巴丝虫病和盘尾丝虫病是两种常见的丝虫病,由一组被称为丝虫病的寄生虫引起,丝虫病是沃尔巴克氏菌的宿主。一种好的治疗方法是寻找沃尔巴克氏体作为药物靶点。本文通过QSAR研究了52个吡唑嘧啶类似物的抗沃尔巴克氏菌活性(pEC50),并利用建立的模型预测了新设计的类似物的pEC50值。采用密度泛函理论进行结构优化,基于遗传函数算法建立模型。建立的QSAR模型得到验证:R2 = 0.8104, R2 adj = 0.7629, Q2 cv = 0.6981, R2 test = 0.7501, cRp2 = 0.7476。所有新设计化合物的预测pEC50均高于模板(43)。新化合物是;经观察符合药物相似标准,均匀分布于大脑,无致突变性。利用iGEMDOCK工具将新化合物和参比药物(多西环素)对接到卵巢肿瘤(OTU)去泛素酶受体(PDB ID: 6w90o)上。这种蛋白已知能帮助沃尔巴克氏体破坏宿主泛素信号。除A5外,新设计的化合物的结合得分均高于强力霉素,而蛋白质与配体的相互作用主要以氢键和疏水相互作用类型为特征。因此,新设计的分子可以作为治疗淋巴丝虫病和盘尾丝虫病的潜在候选药物。
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
自引率
0.00%
发文量
0
期刊最新文献
Predicting phase-I metabolism of piceatannol: an in silico study Exploring isoindolin-1-ones as potential CDK7 inhibitors using cheminformatic tools Investigation of alpha amylase inhibitors from Bidens pilosa L. by in silico and in vitro studies Network pharmacology reveals the potential of Dolastatin 16 as a diabetic wound healing agent. RND pump inhibition: in-silico and in-vitro study by Eugenol on clinical strain of E. coli and P. aeruginosa.
×
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:604180095
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