{"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}
引用次数: 0
Abstract
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.
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.