Targeting human arginyltransferase and post-translational protein arginylation: a pharmacophore-based multilayer screening and molecular dynamics approach to discover novel inhibitors with therapeutic promise.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
R Naga, S Poddar, A Jana, S Maity, P Kar, D R Banerjee, S Saha
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引用次数: 0

Abstract

Protein arginylation mediated by arginyltransferase 1 is a crucial regulator of cellular processes in eukaryotes by affecting protein stability, function, and interaction with other macromolecules. This enzyme and its targets are of immense interest for modulating cellular processes in diseased states like obesity and cancer. Despite being an important target molecule, no highly potent drug against this enzyme exists. Therefore, this study focuses on discovering potential inhibitors of human arginyltransferase 1 by computational approaches where screening of over 300,000 compounds from natural and synthetic databases was done using a pharmacophore model based on common features among known inhibitors. The drug-like properties and potential toxicity of the compounds were also assessed in the study to ensure safety and effectiveness. Advanced methods, including molecular simulations and binding free energy calculations, were performed to evaluate the stability and binding efficacy of the most promising candidates. Ultimately, three compounds were identified as potent inhibitors, offering new avenues for developing therapies targeting arginyltransferase 1.

靶向人精氨酸转移酶和翻译后蛋白精氨酸化:基于药物团的多层筛选和分子动力学方法发现具有治疗前景的新型抑制剂。
在真核生物中,由精氨酸转移酶1介导的蛋白质精氨酸化作用通过影响蛋白质的稳定性、功能和与其他大分子的相互作用而成为细胞过程的重要调节因子。这种酶和它的靶标对于调节肥胖和癌症等疾病状态下的细胞过程有着巨大的兴趣。尽管它是一种重要的靶分子,但目前还没有针对这种酶的高效药物。因此,本研究的重点是通过计算方法发现人类精氨酸转移酶1的潜在抑制剂,其中使用基于已知抑制剂共同特征的药效团模型,从天然和合成数据库中筛选了超过30万种化合物。研究中还对化合物的类药物性质和潜在毒性进行了评估,以确保其安全性和有效性。采用先进的方法,包括分子模拟和结合自由能计算,来评估最有希望的候选分子的稳定性和结合效率。最终,三种化合物被确定为有效的抑制剂,为开发针对精氨酸转移酶1的治疗方法提供了新的途径。
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
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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