通过一种新的蛋白质结合位点筛选方法鉴定表没食子儿茶素没食子酸酯的潜在人类靶点。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jernej Hirci, Sandra Škufca, Tanja Kunej, Dušanka Janežič, Janez Konc
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引用次数: 0

摘要

背景:表没食子儿茶素-3-没食子酸酯(EGCG)是一种在绿茶中发现的化合物,以其抗癌特性而闻名,尽管其特定的蛋白质目标在很大程度上仍未确定。在这项研究中,我们使用一种新的蛋白质结合位点筛选方法确定了人类蛋白质组中的EGCG靶点。在20个最可能的预测靶标中,有6个蛋白- kras, FXa, MMP1, PLA2G2A, Hb和cdk2 -已在先前的研究中得到实验验证。另外14种蛋白,包括5种激酶,被预测为潜在靶点,所有这些蛋白都与癌症的发展有关,并可能介导EGCG的抗癌作用。富集分析显示KEGG通路与癌症相关,KRAS和PIM1作为关键节点出现。这些发现与之前的实验研究一致,为EGCG的分子机制及其在调节癌症相关途径中的潜在作用提供了新的见解。方法:采用ProBiS-Dock算法和ProBiS-Dock数据库,筛选36532个人蛋白结合位点的EGCG。利用Cytoscape和StringApp进行网络和富集分析,确定了EGCG的蛋白相互作用和KEGG通路,揭示了EGCG潜在的抗癌机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of potential human targets for epigallocatechin gallate through a novel protein binding site screening approach.

Context: Epigallocatechin-3-gallate (EGCG), a compound found in green tea, is known for its anticancer properties, although its specific protein targets remain largely undefined. In this study, we identified EGCG targets across the human proteome using a novel protein binding site screening approach. Among the 20 most likely predicted targets, six proteins-KRAS, FXa, MMP1, PLA2G2A, Hb, and CDK2-had been experimentally validated in previous studies. Fourteen additional proteins, including five kinases, were newly predicted as potential targets, all of which are implicated in cancer development and may mediate EGCG's anticancer effects. Enrichment analysis revealed KEGG pathways associated with cancer, with KRAS and PIM1 appearing as key nodes. These findings, which align with previous experimental research, offer new insights into the molecular mechanisms of EGCG and its potential role in modulating cancer-related pathways.

Methods: An approach was devised to screen EGCG with 36,532 human protein binding sites using the ProBiS-Dock algorithm and the ProBiS-Dock database. Network and enrichment analyses with Cytoscape and StringApp identified protein interactions and KEGG pathways, revealing potential anticancer mechanisms of EGCG.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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