甲基2-(7-羟基-3-甲基辛基)-1,3-二甲基-4-氧环己基-2-烯羧酸盐作为天然有效的抗结核铅:一项整合分子对接、分子动力学、FMO和DFT分析的硅研究

IF 3.1 4区 生物学 Q2 BIOLOGY
Fathima Asra , Kannan Vadivel , Srikanth Jeyabalan , Srilekha Chintala , Naresh Dumala
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引用次数: 0

摘要

目前上市的抗结核药物疗效有限,有可能引起器官毒性。因此,需要新的药物疗法来对抗结核病。甲基2-(7-羟基-3-甲基辛基)-1,3-二甲基-4-氧环己烯-2-烯羧酸酯(PE14)和(E)-3,7,11,15-四甲基十六烯-2-烯-1-醇(EA8)是分别从麻豆的石油醚和乙酸乙酯叶提取物中分离得到的天然抗结核类铅分子。广泛的研究表明,这种植物具有广泛的健康益处。然而,从该物种中分离的植物化合物的抗结核作用尚未得到系统的研究。为了评估天然化合物的抗结核作用,对所选抗结核靶蛋白的结合亲和力进行了计算机预测,并将其与共结晶配体作为标准进行了比较。此外,还预测了其理化性质、药代动力学和各种毒性相关参数。选择两种配体对接配合物进行分子动力学模拟,计算了超过250 ns的结合自由能。此外,还对FMO和DFT进行了研究。PE14符合RO5并具有合适的ADMET配置文件。以kcal/mol为单位的分子对接分数显示,与目标蛋白的共结晶配体和EA8相比,EA8对抗结核药物靶点的作用更强。总的来说,从分子对接研究中得到了配体与所选靶蛋白之间相互作用的强度,从分子动力学模拟研究中得到了配体与靶蛋白相互作用过程中发生的热变化,通过FMO分析和其他多参数靶蛋白的药物性谱,建立了STD >; PE14 > CIP >; EA8的电子反应性趋势,表明PE14可以被认为是治疗结核分枝杆菌的合适的抗结核样铅。本研究的结果与我们之前在LRP法中对麻豆的研究结果密切相关。然而,为了参与临床试验,必须对合成的纯化合物进行必要的体外和体内研究,其中的计算机结果将有助于加快药物开发过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methyl 2-(7-hydroxy-3-methyloctyl)-1,3-dimethyl-4-oxocyclohex-2-enecarboxylate as a natural and potent antitubercular lead: An in silico study integrating molecular docking, molecular dynamics, FMO, and DFT analyses
The currently marketed antitubercular drugs have limited efficacy with the potential to cause organ toxicity. Thus, there is a need for new drug therapies to combat tuberculosis. Methyl 2-(7-hydroxy-3-methyloctyl)-1,3-dimethyl-4-oxocyclohex-2-enecarboxylate (PE14) and (E)-3,7,11,15-tetramethylhexadec-2-en-1-ol (EA8) are the natural antitubercular lead-like molecules isolated from petroleum ether and ethyl acetate leaf extracts of Ipomea sepiaria, respectively. Extensive research has demonstrated the wide range of health benefits associated with this plant. However, the antitubercular effects of phytocompounds isolated from this species have not been systematically investigated. To evaluate the antitubercular effect of the natural compound, in silico prediction of binding affinity against selected antitubercular target proteins was conducted, and this was compared with co-crystallized ligands as a standard. Additionally, the physicochemical properties, pharmacokinetics, and various toxicity-related parameters were also predicted. Two ligand docking complexes were selected for molecular dynamics simulations to calculate the binding free energy over 250 ns. Moreover, FMO and DFT were also investigated. PE14 complies with RO5 and exhibits suitable ADMET profiles. The molecular docking scores in kcal/mol showed comparatively more potency against antitubercular drug targets compared to the co-crystalized ligand of the target protein as well as EA8. Overall, the strength of interaction between the ligands with their selected target proteins from the molecular docking study, heat change that occurs during the ligand-target interactions from a molecular dynamic simulation study, the electronic reactivity trend was established as STD > PE14 > CIP > EA8 from FMO analysis and other multi-parametric druggability profiles of target proteins suggests that PE14 can be considered as a suitable antitubercular lead-like for the treatment of M. tuberculosis. The results of the current study were closely correlated with those of our previous study on Ipomea sepiaria in the LRP assay. However, necessary in vitro and in vivo studies on the synthesized pure compound must be carried out to participate in a clinical trial, where the in silico results would help expedite the process of drug development.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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