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利用气相色谱-质谱联用仪对茎提取物进行植物化学分析和化合物剖析

Phytochemical Analysis and Compound Profiling of Stem Extract Using GC-MS.

作者信息

Al-Raddadi Tahreer M, Bahaffi Saleh O, Alk-Hateeb Lateefa A

机构信息

Chemistry Department Faculty of Science King Abdulaziz University Jeddah Saudi Arabia.

Chemistry Department Al-Qunfudah University College Umm Al-Qura University Makkah Saudi Arabia.

出版信息

Anal Sci Adv. 2025 Mar 23;6(1):e70011. doi: 10.1002/ansa.70011. eCollection 2025 Jun.

Abstract

Natural products are essential in drug discovery and have diverse applications in biotechnology. Naturally derived compounds are widely recognized as lead candidates in conventional drug development. Molecular docking has become a valuable tool for predicting interactions between small molecules and drug targets, assisting medicinal chemists in designing compounds with potential pharmacological effects. This study aimed to investigate the phytoconstituents of the methanol extract of stem through gas chromatography-mass spectrometry (GC-MS) analysis and to conduct molecular docking studies of active components against the BCL2 receptor protein. Liquid-liquid extractions were performed using -hexane, chloroform and butanol, followed by GC-MS analysis of the extracts. Molecular docking studies were conducted on active components identified by GC-MS against the BCL2 receptor protein. GC-MS analysis identified 22 compounds in the extracts, with prominent compounds, including hexadecenoic acid, octadec-9-enoic acid, various benzene dicarboxylic acid esters, hexadecanoic acid derivatives, 13-docosenamide and stigmasterol. Molecular docking revealed that γ-sitosterol, α-sitosterol and campesterol exhibited the lowest binding scores, indicating high affinity. These findings support the traditional use of stem in treating various ailments, and the molecular docking results provide insights into potential mechanisms of action of the identified compounds.

摘要

天然产物在药物发现中至关重要,在生物技术领域有多种应用。天然衍生的化合物在传统药物开发中被广泛认为是潜在的候选药物。分子对接已成为预测小分子与药物靶点之间相互作用的重要工具,有助于药物化学家设计具有潜在药理作用的化合物。本研究旨在通过气相色谱 - 质谱联用(GC-MS)分析研究[植物名称]茎甲醇提取物的植物成分,并对活性成分与BCL2受体蛋白进行分子对接研究。使用正己烷、氯仿和丁醇进行液 - 液萃取,随后对提取物进行GC-MS分析。对GC-MS鉴定出的活性成分针对BCL2受体蛋白进行分子对接研究。GC-MS分析在提取物中鉴定出22种化合物,其中突出的化合物包括十六碳烯酸、十八碳 - 9 - 烯酸、各种苯二甲酸酯、十六烷酸衍生物、13 - 二十二碳酰胺和豆甾醇。分子对接显示,γ - 谷甾醇、α - 谷甾醇和菜油甾醇表现出最低的结合分数,表明具有高亲和力。这些发现支持了[植物名称]茎在治疗各种疾病方面的传统用途,分子对接结果为所鉴定化合物的潜在作用机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/274f/11929968/0287b864e2c7/ANSA-6-e70011-g003.jpg

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