适用于活性化合物靶点鉴定的无标记蛋白质分析方法

doi:10.6023/A24030082

综述

适用于活性化合物靶点鉴定的无标记蛋白质分析方法

吕博海^a,b, 勾文峰^b, 许飞飞^b, 李艳丽^b, 李祎亮^b,*, 侯文彬^b,*

^a天津中医药大学天津 301617;
^b北京协和医学院&中国医学科学院放射医学研究所天津 300192

投稿日期:2024-03-14
作者简介:吕博海, 2022年毕业于天津中医药大学, 同年9月继续攻读中药学硕士研究生. 研究方向为基于化学生物学的靶点发掘和蛋白质的结构、功能对信号通路的过程影响.
李祎亮, 中国医学科学院放射医学研究所研究员, 天津市“131”创新人才第一层次人才获得者, 北京协和医学院博士生导师. 长期从事新药研发工作, 重点专注于“分子影像”示踪技术与“药物设计”新策略结合, 开展新靶点药物和分子显像剂的研发. 曾参与并主持完成镇痛新药“地佐辛”、术后肠梗阻新药“爱维莫潘”等新药研发, 获得临床批件16项, 新药证书6项. 2018年, 主持承担天津市重大新药“正电子药物制备及其关键技术”平台建设, 2020年, 荣获天津市创新人才推进计划重点领域创新团队负责人. 近5年来, 带领团队陆续开展AND1、CDK19等原创靶点药物和分子显像剂开发, 已在Clin Transl Med、Eur J Nucl Med Mol Imaging、Eur J Med Chem等学术期刊杂志发表论文高水平论文20余篇, 获得授权发明专利22项.
侯文彬, 中国医学科学院放射医学研究所研究员, 国务院特殊津贴专家、天津市有突出贡献专家、天津市优秀科技工作者, 天津市“131”人才第1层次人选和“131”人才团队负责人. 主要从事天然药物创新药的研究与开发. 先后主持承担国家支撑计划课题1项, 重大新药创制4项, 主持天津市重大科技攻关7项, 获市科技进步奖一、二、三等奖共3项, 滨海新区科技进步一等奖1项. 作为课题负责人主持完成新药研究20余项, 获新药证书2项, 临床批件10项, 包括胡黄连总苷及胶囊, 淫羊藿素及其软胶囊获临床批件等, 申请专利24项, 授权10余项, 作为编委编著7部, 发表论文60余篇.
基金资助:
项目受国家自然科学基金项目(82104012, 82202950, 82303681); 中国医学科学院医学与健康科技创新工程重大协同创新项目(2021-I2M-1-042); 中央高校基本科研业务费专项资金(3332022063); 2022天津基地平台项目(2022050)资助

Label-free protein analysis methods for active compound targets identification

Lyu Bohai^a,b, Gou Wenfeng^b, Xu Feifei^b, Li Yanli^b, Li Liliang^b,*, Hou Wenbin^a,*

^aTianjin University of Traditional Chinese Medicine, Tianjin 301671;
^bInstitute of Radiation Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Tianjin 300192;

Received:2024-03-14
Contact: * E-mail: liyiliang@irm-cams.ac.cn; houwenbin@irm-cams.ac.cn
Supported by:
National Natural Science Foundation of China (Grant No. 82104012, 82202950 & 82303681), the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2021-I2M-1-042), the Fundamental Research Funds for the Central Universities (3332022063)

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摘要/Abstract

随着发现越来越多的活性有效成分, 探寻这些有效成分的药理作用机制, 鉴定它们的有效靶点的需求逐渐增加. 化学生物学作为近年来新发展的一门交叉学科, 是承担此项任务的最佳选择. 其中多种无标记蛋白质分析方法通过研究活性分子化合物与蛋白质相互作用, 从而影响蛋白的化学物理性质, 为药物研发提供新的思路. 这些方法通过检测活性化合物对蛋白质的热稳定性、酶敏感性、分子结构引起的改变, 以及结合光谱、质谱分析等相关技术, 来评估活性化合物的选择性和作用范围, 减少脱靶风险. 本文总结了多种适用于靶点鉴定的无标记蛋白质分析方法, 对药物的靶点发现具有参考意义.

关键词: 靶点鉴定, 无标记, 蛋白质分析, 热力学作用, 配体结合, 荧光报告

As more and more active ingredients are discovered, there is an increasing demand to explore the pharmacological mechanisms of these drugs and identify their effective targets. Chemical biology, as a newly developed interdisciplinary field in recent years, is the best choice to undertake this task. The identification method of unlabeled targets does not involve any chemical modification of small molecular drugs and has attracted wide attention in recent years. Most of the target identification methods based on interaction belong to the type of unlabeled deconvolution. Label-free protein analysis can also help predict potential drug targets or candidates, develop new biomarker assays and diagnostic reagents, and evaluate the selectivity and range of active compounds to reduce the risk of off-target effects. It can achieve these goals using techniques such as changing protein thermal stability, enzyme sensitivity, and molecular structure and using mass spectrometry. In this paper, we review the reported Label-free protein analysis techniques for identifying different types of targets. Based on different principles from three perspectives, hydrogen deuterium exchange mass spectrometry, surface plasmon resonance, microscale thermophoresis, fluorescence correlation spectroscopy, and other techniques are introduced, and the principles and scope of application of these techniques are introduced to readers through figures, texts, and tables. The combined use of various techniques can improve the success rate of target discovery, but this review still has the limitation of incomplete summary of the techniques. To give the reader an initial impression of Label-free protein analysis techniques that can provide valuable insights for drug target discovery. The target identification of active compounds can deepen our understanding of the mode of action of clinical drugs, help to discover new undruggable proteins, and provide the possibility for innovative treatments. With the development of mass spectrometry-based proteomics and computational biology, it can provide more help and possibility for us to explore the targets of active compounds. The popularization of these techniques can provide more options for researchers and facilitate the improvement of drug properties.

Key words: label-free, protein analysis, target identification, thermodynamic action, ligand binding, fluorescence reporting

引用此文

吕博海, 勾文峰, 许飞飞, 李艳丽, 李祎亮, 侯文彬. 适用于活性化合物靶点鉴定的无标记蛋白质分析方法[J]. 化学学报, doi: 10.6023/A24030082.

Lyu Bohai, Gou Wenfeng, Xu Feifei, Li Yanli, Li Liliang, Hou Wenbin. Label-free protein analysis methods for active compound targets identification[J]. Acta Chimica Sinica, doi: 10.6023/A24030082.

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