Evaluating the Anti-tumor and Anti-inflammatory Efficacy of Natural Compounds Targeting TNFRs Using Computational Methods.

IF 2.5 4区 医学 Q3 CHEMISTRY, MEDICINAL
Hatice Akkaya, Aydın Özmaldar
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引用次数: 0

Abstract

Introduction/objectives: The tumor necrosis factor (TNF) superfamily includes cytokines that play a role in biological functions such as cell cycle regulation, cell death, and inflammatory responses. The main objective of this research is to investigate the effects of naturally occurring compounds on the TNF receptor family using in silico methods, thereby revealing their potential for anticancer and anti-inflammatory activity.

Methods: In this study, the drug affinity, receptor interactions, and pharmacokinetic properties of the compounds used were evaluated, and the analysis was completed with molecular docking, molecular dynamics simulations, and binding free energy calculations.

Results: Computational analyses revealed that boswellic acid forms strong and stable interactions with TNFR1, TNFR2, and CD95. Berberine was identified as another candidate showing strong affinity with CD40. The analyses suggest that cysteine-rich key structural regions play a significant role in the stability of ligand-receptor complexes.

Discussions: The data obtained in our study indicate that boswellic acid and berberine have the ability to interact with TNFRs and affect multiple targets. The previously reported antiinflammatory and anti-cancer properties of these compounds are consistent with our current findings. On the other hand, the possibility that the in silico approaches used may not fully reflect the receptor activation processes or unexpected interactions should not be overlooked. Therefore, the results obtained at this stage must be confirmed by experimental methods.

Conclusions: The analysis results indicate that boswellic acid and berberine, which possess anti- inflammatory and anticancer properties, can be multi-target agents by interacting with the TNFR family.

用计算方法评价天然化合物靶向tnfr的抗肿瘤和抗炎效果。
简介/目的:肿瘤坏死因子(TNF)超家族包括在细胞周期调节、细胞死亡和炎症反应等生物学功能中发挥作用的细胞因子。本研究的主要目的是利用计算机方法研究天然存在的化合物对TNF受体家族的影响,从而揭示其抗癌和抗炎活性的潜力。方法:通过分子对接、分子动力学模拟、结合自由能计算等方法,对所用化合物的药物亲和力、受体相互作用和药动学性质进行评价。结果:计算分析显示乳香酸与TNFR1、TNFR2和CD95形成强而稳定的相互作用。小檗碱被确定为另一个与CD40具有强亲和力的候选物。分析表明,富含半胱氨酸的关键结构区域对配体-受体复合物的稳定性起着重要作用。讨论:本研究获得的数据表明,乳香酸和小檗碱具有与tnfr相互作用并影响多个靶点的能力。先前报道的这些化合物的抗炎和抗癌特性与我们目前的研究结果一致。另一方面,不应忽视所使用的计算机方法可能不能完全反映受体激活过程或意外相互作用的可能性。因此,这一阶段得到的结果必须用实验方法加以证实。结论:乳香酸和小檗碱具有抗炎和抗癌作用,可与TNFR家族相互作用成为多靶点药物。
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
Medicinal Chemistry
Medicinal Chemistry 医学-医药化学
CiteScore
4.30
自引率
4.30%
发文量
109
审稿时长
12 months
期刊介绍: Aims & Scope Medicinal Chemistry a peer-reviewed journal, aims to cover all the latest outstanding developments in medicinal chemistry and rational drug design. The journal publishes original research, mini-review articles and guest edited thematic issues covering recent research and developments in the field. Articles are published rapidly by taking full advantage of Internet technology for both the submission and peer review of manuscripts. Medicinal Chemistry is an essential journal for all involved in drug design and discovery.
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