利用计算建模和模拟从中药小分子中筛选和设计 PARP12 抑制剂。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2024-11-11 DOI:10.1080/07391102.2024.2424941
Xiaochen Yang, Baolin Liu, Aamir Mehmood, Daixi Li
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引用次数: 0

摘要

多聚(ADP-核糖)聚合酶(PARP)家族的酶在协调多种细胞过程中发挥着关键作用,包括 DNA 修复机制、转录调控和免疫反应调节。在这个家族中,PARP12 是癌症靶向治疗的一个值得关注的候选对象。因此,本研究采用复杂的分子建模和计算药物化学方法,努力从传统中药化合物中筛选和设计潜在的 PARP12 抑制剂。以化合物 RBN2397 为基准,根据一系列标准(包括分子相互作用、结合自由能和广泛的模拟后分析)评估了新发现的小分子的结合效能。结果表明,与 RBN2397 相比,已发现的小分子,特别是 tcm8650 及其衍生物 XC-1 具有显著的结合亲和力,并表现出较低的结合自由能。这些化合物的分子对接和相互作用图谱也得到了全面研究。此外,ADMET 分析还细致评估了这些有潜力的分子的药代动力学特征和理化特性,以及它们对人体生理的预期影响。这些计算研究表明了它们潜在的治疗适用性,并预测了可接受的安全性,主张进一步将它们作为癌症治疗的可行候选药物进行探索。
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Screening and design of PARP12 inhibitors from traditional Chinese medicine small molecules using computational modeling and simulation.

The poly (ADP-ribose) polymerase (PARP) family of enzymes plays a pivotal role in orchestrating a multitude of cellular processes, including DNA repair mechanisms, transcriptional regulation, and modulation of immune responses. Within this family, PARP12 emerges as a noteworthy candidate for targeted cancer therapeutics. Consequently, this investigation endeavors to screen and design potential PARP12 inhibitors derived from traditional Chinese medicinal compounds by employing sophisticated molecular modeling and computational medicinal chemistry approaches. The compound RBN2397 is utilized as a benchmark, and the binding efficacies of the newly identified small molecules are assessed against a spectrum of criteria, encompassing molecular interactions, binding free energy, and extensive post-simulation analyses. The outcomes demonstrated that the identified small molecules, specifically tcm8650 and its derivative XC-1, possess remarkable binding affinities and exhibit reduced binding free energies compared to RBN2397. The molecular docking and interaction profiles of these compounds were also comprehensively scrutinized. Moreover, ADMET profiling meticulously evaluated the pharmacokinetic profiles and physicochemical characteristics of these promising molecules and their projected human physiological impact. These computational studies indicated their potential therapeutic applicability and predicted acceptable safety profile, advocating their further exploration as viable candidates in cancer treatment.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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