Structural bioinformatics insights into UDP-galactopyranose mutase (UGM) as a novel drug target for antifilarial therapy against human filarial parasite Brugia malayi.

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Arasu Muneeshwari, Natarajan Sampath
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引用次数: 0

Abstract

A flavoenzyme, UDP-galactopyranose mutase (UGM), serves as a pivotal enzyme catalysing the conversion of UDP-galactopyranose (galP) into UDP-galactofuranose (galF), a metabolite exclusively present in pathogenic microorganisms, including filarial parasites. The galF plays a critical role in various pathogenic processes, like cell wall biosynthesis, virulence enhancement, and cuticle formation in filarial parasites. Notably, the absence of galF in humans renders, UGM an attractive and promising drug target for developing potent antifilarial therapeutics. In this study, we employed advanced bioinformatics approaches to identify effective antifilarial drug candidates. The UGM enzyme from Brugia malayi (BmUGM) was meticulously modelled and subsequently utilized for molecular docking studies against 20 triazolothiadiazine analogues using the AutoDock program. Among these, eight compounds exhibiting high binding affinities, ranging from - 8.7 to - 10.5 kcal/mol, were selected for further protein-ligand MD simulations. Post-simulation analyses, encompassing MM-PBSA and binding free energy decomposition, demonstrated that two triazolothiadiazine analogues, namely D4 and D8, exhibited exceptionally high binding free energies of - 29.76 kcal/mol and - 27.50 kcal/mol, respectively. These values exceeded the binding free energy of the natural substrate galP, which was calculated at - 20.01 kcal/mol. Furthermore, binding free energy decomposition analysis pinpointed critical binding site residues Tyr168, Trp184, Tyr326, Tyr335, Arg336, Tyr405, and Gln475 as essential mediators of the protein-ligand interactions. Additionally, ADMET and DFT quantum mechanical calculations confirmed that the triazolothiadiazine analogues exhibit low toxicity profiles and favourable chemical reactivity. Based on these findings, we propose that the identified ligand molecules hold potential as potent inhibitors of BmUGM, with broad-spectrum efficacy against all life stages of filarial parasites.

udp -半乳糖氨基葡萄糖突变酶(UGM)作为抗人马来布鲁氏丝虫病药物靶点的结构生物信息学研究。
一种黄酶,udp -半乳糖酰氨糖变化酶(UGM),是催化udp -半乳糖酰氨糖(galP)转化为udp -半乳糖呋喃糖(galF)的关键酶,这是一种仅存在于病原微生物(包括丝虫病寄生虫)中的代谢物。半胱氨酸在多种致病过程中起关键作用,如丝虫的细胞壁生物合成、毒力增强和角质层形成。值得注意的是,在人类中缺乏半胱氨酸使得UGM成为开发有效抗丝虫病治疗药物的一个有吸引力和有希望的药物靶点。在这项研究中,我们采用先进的生物信息学方法来鉴定有效的抗丝虫病候选药物。来自马来树的UGM酶(BmUGM)被精心建模,随后使用AutoDock程序对20种三唑噻二嗪类似物进行分子对接研究。其中,8个具有高结合亲和力的化合物(范围在- 8.7到- 10.5 kcal/mol)被选择用于进一步的蛋白质配体MD模拟。模拟后分析,包括MM-PBSA和结合自由能分解,表明两个三唑噻嗪类似物D4和D8的结合自由能分别为- 29.76 kcal/mol和- 27.50 kcal/mol。这些值超过了天然底物galP的结合自由能,其计算值为- 20.01 kcal/mol。此外,结合自由能分解分析确定了关键结合位点残基Tyr168、Trp184、Tyr326、Tyr335、Arg336、Tyr405和Gln475是蛋白质与配体相互作用的重要介质。此外,ADMET和DFT量子力学计算证实,三唑噻嗪类似物具有低毒性和良好的化学反应性。基于这些发现,我们提出鉴定的配体分子具有作为BmUGM有效抑制剂的潜力,对丝虫病的所有生命阶段都具有广谱功效。
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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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