Direct observation of natural products bound to protein based on UHPLC-ESI-MS combined with molecular dynamics simulation

IF 8.9 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chinese Chemical Letters Pub Date : 2025-05-01 Epub Date: 2024-06-14 DOI:10.1016/j.cclet.2024.110128
Jinqi Yang , Xiaoxiang Hu , Yuanyuan Zhang , Lingyu Zhao , Chunlin Yue , Yuan Cao , Yangyang Zhang , Zhenwen Zhao
{"title":"Direct observation of natural products bound to protein based on UHPLC-ESI-MS combined with molecular dynamics simulation","authors":"Jinqi Yang ,&nbsp;Xiaoxiang Hu ,&nbsp;Yuanyuan Zhang ,&nbsp;Lingyu Zhao ,&nbsp;Chunlin Yue ,&nbsp;Yuan Cao ,&nbsp;Yangyang Zhang ,&nbsp;Zhenwen Zhao","doi":"10.1016/j.cclet.2024.110128","DOIUrl":null,"url":null,"abstract":"<div><div>The bioactive constituents found in natural products (NPs) are crucial in protein-ligand interactions and drug discovery. However, it is difficult to identify ligand molecules from complex NPs that specifically bind to target protein, which often requires time-consuming and labor-intensive processes such as isolation and enrichment. To address this issue, in this study we developed a method that combines ultra-high performance liquid chromatography-electrospray ionization-mass spectrometry (UHPLC-ESI-MS) with molecular dynamics (MD) simulation to identify and observe, rapidly and efficiently, the bioactive components in NPs that bind to specific protein target. In this method, a specific protein target was introduced online using a three-way valve to form a protein-ligand complex. The complex was then detected in real time using high-resolution MS to identify potential ligands. Based on our method, only 10 molecules from green tea (a representative natural product), including the commonly reported epigallocatechin gallate (EGCG) and epicatechin gallate (ECG), as well as the previously unreported eepicatechin (4β→8)-epigallocatechin 3-<em>O</em>-gallate (EC-EGCG) and eepiafzelechin 3-<em>O</em>-gallate-(4β→8)-epigallocatechin 3-<em>O</em>-gallate (EFG-EGCG), were screened out, which could form complexes with Aβ<sub>1–42</sub> (a representative protein target), and could be potential ligands of Aβ<sub>1–42</sub>. Among of them, EC-EGCG demonstrated the highest binding free energy with Aβ<sub>1–42</sub> (−68.54 ± 3.82 kcal/mol). On the other side, even though the caffeine had the highest signal among green tea extracts, it was not observed to form a complex with Aβ<sub>1–42</sub>. Compared to other methods such as affinity selection mass spectrometry (ASMS) and native MS, our method is easy to operate and interpret the data. Undoubtedly, it provides a new methodology for potential drug discovery in NPs, and will accelerate the research on screening ligands for specific proteins from complex NPs.</div></div>","PeriodicalId":10088,"journal":{"name":"Chinese Chemical Letters","volume":"36 5","pages":"Article 110128"},"PeriodicalIF":8.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Chemical Letters","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1001841724006478","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The bioactive constituents found in natural products (NPs) are crucial in protein-ligand interactions and drug discovery. However, it is difficult to identify ligand molecules from complex NPs that specifically bind to target protein, which often requires time-consuming and labor-intensive processes such as isolation and enrichment. To address this issue, in this study we developed a method that combines ultra-high performance liquid chromatography-electrospray ionization-mass spectrometry (UHPLC-ESI-MS) with molecular dynamics (MD) simulation to identify and observe, rapidly and efficiently, the bioactive components in NPs that bind to specific protein target. In this method, a specific protein target was introduced online using a three-way valve to form a protein-ligand complex. The complex was then detected in real time using high-resolution MS to identify potential ligands. Based on our method, only 10 molecules from green tea (a representative natural product), including the commonly reported epigallocatechin gallate (EGCG) and epicatechin gallate (ECG), as well as the previously unreported eepicatechin (4β→8)-epigallocatechin 3-O-gallate (EC-EGCG) and eepiafzelechin 3-O-gallate-(4β→8)-epigallocatechin 3-O-gallate (EFG-EGCG), were screened out, which could form complexes with Aβ1–42 (a representative protein target), and could be potential ligands of Aβ1–42. Among of them, EC-EGCG demonstrated the highest binding free energy with Aβ1–42 (−68.54 ± 3.82 kcal/mol). On the other side, even though the caffeine had the highest signal among green tea extracts, it was not observed to form a complex with Aβ1–42. Compared to other methods such as affinity selection mass spectrometry (ASMS) and native MS, our method is easy to operate and interpret the data. Undoubtedly, it provides a new methodology for potential drug discovery in NPs, and will accelerate the research on screening ligands for specific proteins from complex NPs.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于超高效液相色谱-电喷雾串联质谱(UHPLC-ESI-MS)结合分子动力学模拟,直接观察与蛋白质结合的天然产物
在天然产物(NPs)中发现的生物活性成分在蛋白质-配体相互作用和药物发现中至关重要。然而,很难从复杂的NPs中识别特异性结合靶蛋白的配体分子,这通常需要耗时和劳动密集型的过程,如分离和富集。为了解决这一问题,本研究开发了一种结合超高效液相色谱-电喷雾电离-质谱(UHPLC-ESI-MS)和分子动力学(MD)模拟的方法,以快速有效地鉴定和观察NPs中与特定蛋白质靶点结合的生物活性成分。在这种方法中,使用三通阀在线引入特定的蛋白质靶点,形成蛋白质-配体复合物。然后使用高分辨率质谱实时检测该复合物以识别潜在的配体。基于我们的方法,从绿茶(代表性天然产物)中筛选出10个分子,包括通常报道的表没食子儿茶素没食子酸酯(EGCG)和表没食子儿茶素没食子酸酯(ECG),以及之前未报道的表儿茶素(4β→8)-表没食子儿茶素3- o -没食子酸酯(EC-EGCG)和表没食子儿茶素3- o -没食子酸酯-(4β→8)-表没食子儿茶素3- o -没食子酸酯(eg -EGCG),这些分子可以与a β1 - 42(代表性蛋白靶点)形成配合物,可能是a β1 - 42的潜在配体。其中,EC-EGCG与a - β1 - 42的结合自由能最高(−68.54 ± 3.82 kcal/mol)。另一方面,尽管咖啡因在绿茶提取物中具有最高的信号,但没有观察到它与a β1 - 42形成复合物。与亲和选择质谱法(affinity selection mass spectrometry, asm)和天然质谱法(MS)相比,本方法操作简便,数据解释方便。毫无疑问,它为潜在的NPs药物发现提供了一种新的方法,并将加速从复杂NPs中筛选特定蛋白质配体的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Chinese Chemical Letters
Chinese Chemical Letters 化学-化学综合
CiteScore
14.10
自引率
15.40%
发文量
8969
审稿时长
1.6 months
期刊介绍: Chinese Chemical Letters (CCL) (ISSN 1001-8417) was founded in July 1990. The journal publishes preliminary accounts in the whole field of chemistry, including inorganic chemistry, organic chemistry, analytical chemistry, physical chemistry, polymer chemistry, applied chemistry, etc.Chinese Chemical Letters does not accept articles previously published or scheduled to be published. To verify originality, your article may be checked by the originality detection service CrossCheck.
期刊最新文献
Home-built LC-MiniMS system for quantification of tacrolimus in whole blood Deciphering the HIV reservoir: From epigenetic regulators to RNA-mediated regulation Regulating electron transfer between valence-variable Fe and Cu sites in bimetallic MOFs to enhance ROS generation for day-night antibacterial efficacy Highly efficient and ultralong organic phosphorescence by doping crown ether derivatives into polymer Excited-state intramolecular proton transfer (ESIPT)-triggered photochromic materials
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1