Harnessing the potential of phytochemicals to design anti-filarial molecules targeting the MurE enzyme of Brugia malayi: a hierarchical virtual screening and molecular dynamics simulation study.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
D Prabhu, M Sureshan, S Rajamanikandan, J Jeyakanthan
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引用次数: 0

Abstract

Brugia malayi, a causative agent of lymphatic filariasis, relies on its endosymbiont Wolbachia for survival. MurE ligase, a key enzyme in Wolbachia peptidoglycan biosynthesis, serves as a promising drug target for anti-filarial therapy. In this study, we employed a hierarchical virtual screening pipeline to identify phytochemical inhibitors targeting the MurE enzyme of the Wolbachia endosymbiont of B. malayi (wBmMurE). A validated high-quality model of wBmMurE was used to screen 17,967 phytochemicals, and the identified hits were subjected to toxicity profiling, and ADME filters to select potent drug-like candidates. Five phytochemicals such as biotin, quisqualic acid, succinic acid, 9,14-dihydroxyoctadecanoic acid, and N-isovaleroylglycine with permissible ADME profiles showed favourable binding affinities (GlideScore range: -12.86 to -10.57 kcal/mol), and stable interactions with catalytically important residues were selected from screened hits. Comparative analysis with reported MurE inhibitors validated the superior affinity and drug-like behaviour of our identified leads. Molecular dynamics simulations of 300 ns confirmed the conformational stability of ligand-bound complexes, while MM-GBSA analysis supported their favourable binding free energies. The results revealed that the identified compounds have the tendency of binding within substrate binding cavity of wBmMurE. These findings suggest that selected phytochemicals could serve as starting points for the development of novel anti-filarial agents.

利用植物化学物质的潜力设计针对马来棕树MurE酶的抗丝虫分子:分层虚拟筛选和分子动力学模拟研究。
马来布鲁贾菌是淋巴丝虫病的病原体,依靠其内共生体沃尔巴克氏体生存。MurE连接酶是沃尔巴克氏菌肽聚糖生物合成的关键酶,是抗丝虫治疗的一个有前景的药物靶点。在这项研究中,我们采用分层虚拟筛选管道来鉴定针对马来芽孢杆菌沃尔巴克氏体内共生菌(wBmMurE)的MurE酶的植物化学抑制剂。一个经过验证的高质量wBmMurE模型被用于筛选17,967种植物化学物质,并对确定的命中进行毒性分析,并通过ADME过滤器选择有效的药物样候选物。生物素、准质酸、琥珀酸、9,14-二羟基十八烷酸和n -异戊酰甘氨酸等5种具有允许ADME谱的植物化学物质显示出良好的结合亲和力(GlideScore范围:-12.86至-10.57 kcal/mol),并且从筛选的位点中选择出与催化重要残基稳定的相互作用。与已报道的MurE抑制剂的比较分析证实了我们确定的线索具有优越的亲和力和药物样行为。300 ns的分子动力学模拟证实了配体结合配合物的构象稳定性,而MM-GBSA分析则支持其良好的结合自由能。结果表明,所鉴定的化合物在wBmMurE的底物结合腔内具有结合倾向。这些发现表明,选定的植物化学物质可以作为开发新型抗丝虫药的起点。
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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.
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