缬草烯作为一种新型潜在的 NSCLC THRB 下调剂:网络药理学、分子对接、分子动力学模拟、ADMET 分析和体外分析。

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Janmejay Pant, Lovedeep Singh, Payal Mittal, Nitish Kumar
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引用次数: 0

摘要

本研究通过网络药理学和体外实验研究了缬草烯在非小细胞肺癌(NSCLC)中的分子靶点和影响途径。缬草烯的化学结构来源于 PubChem,靶点识别利用了 PharmMapper 数据库,并与 UniProtKB 的官方基因符号进行了交叉比对。通过 GeneCards 确定了与 NSCLC 相关的靶点,然后使用 STRING 进行了蛋白质-蛋白质相互作用分析。分子对接研究采用 AutoDock Vina 评估与关键核受体(RXRA、RXRB、RARA、RARB、THRB)的结合相互作用。分子动力学模拟在 GROMACS 中进行,时间超过 200 ns,同时使用 Protox 评估了 ADME/T 特性。体外试验通过 MTT 试验测定了 A549 和 HEL 299 细胞的存活率,通过 Hoechst 染色评估了细胞凋亡,并用 JC-1 评估了线粒体电位。分子对接显示,缬烯烃与核受体的结合亲和力很强(低于 - 5 kcal/mol),超过了 5-氟尿嘧啶(5-FU)。分子动力学模拟表明,THRB-缬烯复合物具有良好的结构稳定性和相互作用能量。值得注意的是,戊烯的选择性指数为 2.293,高于 5-FU 的 2.231,表明对正常细胞更安全(HEL 299)。荧光显微镜证实了剂量依赖性 DNA 断裂和线粒体膜电位降低。与 5-FU 的 12.7 μg/ml 相比,缬草烯在 A549 细胞中的 IC50 值为 16.71 μg/ml,这些发现强调了缬草烯作为肺癌有效治疗剂的潜力,值得在临床前模型和最终临床试验中进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Valencene as a novel potential downregulator of THRB in NSCLC: network pharmacology, molecular docking, molecular dynamics simulation, ADMET analysis, and in vitro analysis.

This study investigates the molecular targets and pathways affected by valencene in non-small cell lung cancer (NSCLC) through network pharmacology and in vitro assays. Valencene's chemical structure was sourced from PubChem, and target identification utilized the PharmMapper database, cross-referenced with UniProtKB for official gene symbols. NSCLC-associated targets were identified via GeneCards, followed by protein-protein interaction analysis using STRING. Molecular docking studies employed AutoDock Vina to assess binding interactions with key nuclear receptors (RXRA, RXRB, RARA, RARB, THRB). Molecular dynamics simulations were conducted in GROMACS over 200 ns, while ADME/T properties were evaluated using Protox. In vitro assays measured cell viability in A549 and HEL 299 cells via MTT assays, assessed apoptosis through Hoechst staining, and evaluated mitochondrial potential with JC-1. Molecular docking revealed strong binding affinities of valencene (below - 5 kcal/mol) to nuclear receptors, outperforming 5-fluorouracil (5-FU). Molecular dynamics simulations indicated robust structural stability of the THRB-valencene complex, with favorable interaction energies. Notably, valencene exhibited a selectivity index of 2.293, higher than 5-FU's 2.231, suggesting enhanced safety for normal cells (HEL 299). Fluorescence microscopy confirmed dose-dependent DNA fragmentation and decreased mitochondrial membrane potential. These findings underscore valencene's potential as an effective therapeutic agent for lung cancer, demonstrating an IC50 of 16.71 μg/ml in A549 cells compared to 5-FU's 12.7 μg/ml, warranting further investigation in preclinical models and eventual clinical trials.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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