Computational evaluation of marine demospongiae sponges metabolites activity as mycolic acid biosynthesis inhibitors in Mycobacterium tuberculosis.

IF 1.6 Q4 INFECTIOUS DISEASES International Journal of Mycobacteriology Pub Date : 2023-07-01 DOI:10.4103/ijmy.ijmy_149_23
Abdullah R Alanzi
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Abstract

Background: Mycobacterium tuberculosis is a bacterium that has historically had a substantial impact on human health. Despite advances in understanding and management of tuberculosis (TB), the disease remains a crucial problem that necessitates ongoing work to discover effective drugs, minimize transmission, and improve global health outcomes.

Methods: The purpose of this study is to use molecular docking and absorption, distribution, metabolism, excretion, and toxicity (ADMET) analyses to explore the molecular interactions of different proteins that are involved in mycolic acid biosynthesis (HadAB, InhA, KasA, FabD, and beta-ketoacyl-acyl carrier protein synthase III) of M. tuberculosis with Demospongiae metabolites. The docking findings were evaluated using the glide gscore, and the top 10 compounds docked against each protein receptor were chosen. Furthermore, the selected compounds underwent ADMET analysis, indicating that they have the potential for therapeutic development.

Results: Among the selected compounds, makaluvamine G showed the highest binding affinity against HadAB, psammaplysin E showed highest binding affinity against InhA, pseudotheonamide D showed the highest binding affinity against KasA protein, dinordehydrobatzelladine B showed the highest binding affinity against FabD, and nagelamide X showed the highest binding affinity against beta-ketoacyl-acyl carrier protein synthase III. Additionally, molecular mechanics generalized born surface area (MM-GBSA) binding free energy and molecular dynamics simulations were used to support the docking investigations.

Conclusion: The results of the study suggest that these compounds may eventually be used to treat TB. However, computer validations were included in this study, and more in vitro research is required to turn these prospective inhibitors into clinical drugs.

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结核分枝杆菌中海绵代谢产物作为分枝杆菌酸生物合成抑制剂活性的计算评估。
背景:结核分枝杆菌是一种在历史上对人类健康产生重大影响的细菌。尽管在对结核病的理解和管理方面取得了进展,但该疾病仍然是一个关键问题,需要不断努力发现有效药物,最大限度地减少传播,并改善全球健康状况。方法:本研究的目的是利用分子对接和吸收、分布、代谢、排泄和毒性(ADMET)分析,探讨参与结核分枝杆菌分枝杆菌酸生物合成的不同蛋白质(HadAB、InhA、KasA、FabD和β-酮酰基载体蛋白合酶III)与Demospongiae代谢产物的分子相互作用。使用glide gscore评估对接结果,并选择与每个蛋白质受体对接的前10个化合物。此外,对所选化合物进行了ADMET分析,表明它们具有治疗开发的潜力。结果:在筛选的化合物中,马卡鲁瓦明G对HadAB的结合亲和力最高,PSammablysin E对InhA的结合亲和力最大,假酰胺D对KasA蛋白的结合亲和力最强,二甲二氢巴特泽拉丁B对FabD的结合亲和力最高,和纳格酰胺X对β-酮酰基载体蛋白合成酶III显示出最高的结合亲和力。此外,分子力学广义出生表面积(MM-GBSA)结合自由能和分子动力学模拟用于支持对接研究。结论:研究结果表明,这些化合物最终可能用于治疗结核病。然而,这项研究包括了计算机验证,需要更多的体外研究才能将这些前瞻性抑制剂转化为临床药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
25.00%
发文量
62
审稿时长
7 weeks
期刊最新文献
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